bluuebunny/crossref_metadata_2025 huggingface dataset:
Irbesartan Solid Lipid Nanoparticles Formulation and Evaluation Using Non-Ionic Surfactants
Authors: Saritha Medapati , Palli Ajitha , Divya Bandaru , Lalitha N. , SrinivasaRao Y.
Published: December 2023

Colloidal carriers called solid lipid nanoparticles (SLNs) are used for regulated medication delivery. This work is aimed to create Irbesartan solid lipid nanoparticles (SLNs) by using various nonionic surfactants like Tween-20, Tween-80, Span-80 and Span-20 in order to overcome the drawback of irbesartan which has limited water solubility (IRB). Irbesartan which is an antihypertensive agent belonging to the class of Angiotensin II receptor antagonist used in the treatment of hypertension has poor aqueous solubility and poor bioavailability. Eight different formulations are prepared by solvent injection method using different concentrations of different nonionic surfactants. The evaluated parameters for solid lipid nanoparticles were zeta potential, release of drug, size of the particle, entrapment efficiency. All the formulations showed good drug release but F5 formulation containing higher amount of Span 80 is considered to be optimized preparation.
Phytochemical Study, in Vitro Antioxidant and Antidiabetic Activity of Methonalic Leaf Extract of Linderina Parviflora
Authors: Resool Hussein Malik Yahia Abdul , Malothu Narender , Lanka Haritha
Published: December 2023

In a general context, the significance of a number of medicinal plants has been investigated in the treatment of diabetes mellitus. In this regard, to establish the anti-diabetic potential of Linderina Parviflora, one of the medicinal herbs this study was initiated. The main objective of the study was to evaluate the in vitro anti-oxidant and anti-diabetic activity of methanolic extracts of Linderina Parviflora leaves. During screening for phytochemicals the total phenolic and flavonoid content was estimated. In vitro antidiabetic activity was assessed by α-glucosidase and α-amylase inhibitory assays. Acarbose was included as a standard drug. Methanolic leaf extracts was tested for antioxidant potentiality also. Further, the extract was utilized for GC-MS analysis to know the distribution of various phytochemicals. The methanolic leaf extract was rich with total phenolic and flavonoid contents. The methanolic extract was showed 66.4±3.1 % DPPH scavenging activity at 40 µg mL-1. In in vitro study, an IC50 value of 14.6±0.2 µg mL-1 in α-amylase inhibitory assay was recorded. Whereas in α-glucosidase inhibition assay an IC50 value of 359.5 ± 0.1 µg mL-1 was noted. The GC-MS analysis revealed presence of phytoconstituents like 3-O-Methyl-D-glucose (59.71%), γ-Sitosterol (25.12%) in the extract. The results of the current study demonstrated that Linderina Parviflora leaf may possess antidiabetic activity. Further studies are warranted to encourage conventional use of this herb in the treatment of diabetes mellitus.
Extraction, Isolation, Phytochemical Screening and Evaluation of Anti Oxidant and Hypoglycemic Activity of Methanolic Extract of Tagetes Patula Linn Flowers
Authors: Nandikatti Vijayalakshmi , Babu M. Bujji , Jenifer K.J. Vergelia , Abida Sk.
Published: December 2023

Tagetes patula L. flowers possess different therapeutic properties, because of the presence of phytochemicals like terpenoids, flavonoids and thiophenes. The main objective of this study was to do extraction, followed by phytochemical screening, isolation and evaluation of antidiabetic and anti-oxidant activities of methanolic extract of Tagetes patula L. flowers. The evaluation of antidiabetic activity was carried out by α–amylase inhibition method and the anti-oxidant activity was evaluated hydrogen peroxide scavenging assay and nitric oxide scavenging method. The crude methanolic extract and selected column fractions of Tagetes patula L. flowers have shown anti-oxidant activity. In case of hydrogen peroxide scavenging assay the IC50 value was 8.9 µg mL-1 and in nitric oxide scavenging method it was 31.7 µg mL-1. The IC50 value for antidiabetic activity was 220 µg mL-1. Both the crude methanolic extract and selected column fractions of Tagetes patula L. flowers shown significant antidiabetic and anti-oxidant activity when compared with standards.
A Systematic Approach of Research Screening Models of Neurodegenerative Disease Using Zebrafish
Authors: Kondeti. Madhu , VinayKumar T.
Published: December 2023

Millions of individuals worldwide are affected by neurodegenerative disorders. The most prevalent neurodegenerative disorders are Alzheimer's and Parkinson's. These are the rapidly spreading health concerns in the aged society that lacks effective therapy. Complicated aetiology and clinical diversity of neurodegenerative diseases are making significant progress recently and helping in the development of disease-altering treatments. Among various animal models, zebrafish model has become a substantial in vivo tool to study these neuronal diseases. In the present study, the disease was induced to zebrafish model by giving AlCl3 administration. Changes in the levels of Aβ-42, P-tau inhibitors, scopolamine, okadaic acid, APPIAβ, PSEN1, PSEN2 and cyclic –dependent kinase 5 (CDK5) were observed along with AChE enzyme levels in the zebrafish. In this study, we observed that the induced Alzheimer's disease (AD) has inhibited the Aβ formation via interference by gamma secretase inhibitors (GSIs). Further it was observed that GSIs, not only inhibited the Aβ production but also had an effect on notching signaling. Therefore, AD related drugs are designed in such a way that, they should not trigger the other pathways that may lead to disease progression.
Anti-quorum Sensing Therapies: Issues and Limitations
Authors: Babaniyi Gabriel Gbenga , Akor Ulelu Jessica , Babaniyi Babafemi Raphael
Published: December 2023

Quorum sensing (QS) is a technique that allows bacteria to detect population density and control gene expression simultaneously. The proliferation of multidrug-resistant (MDR) bacteria has become a serious public health concern around the world. Thus, novel ways to treat bacterial infections caused by MDR strains of species such as Pseudomonas aeruginosa and Acinetobacter baumannii are urgently needed. In bacterial communities, QS is an important communication system that regulates survival and virulence. QS inhibitors have led to the study of the importance of QS in bacterial infections. Many important microbial pathogenic activities, such as sporulation, biofilm development and enzyme/vesicle secretion, are regulated by QS. This resulted in the development of anti-QS therapy [or quorum quenching (QQ)] to combat infections. It has been shown that combining bacteria with antibiotics can reduce pathogenicity. The purpose of this paper is to highlight the unfavorable aspects of QQ therapy, with a focus on three essential features attributed to anti-QS substances: selectivity, decreased virulence and lack of resistance to QQ. Resistance mechanisms to various types of quorum quenchers, such as signal-degrading enzymes, such as lactonases or acylases for homoserine lactone (HSL) autoinducers, are discussed. This perspective may reveal areas of further study and also shows additional research directions that should be considered in the future before QQ treatments are widely used in the treatment of humans.
Antibiotic Resistance in Microorganisms – Current Status
Authors: Elfaky Mahmoud A. , Ghaith Doaa M. , Alsaad Marwa M. , Zafer Mai M.
Published: December 2023

Antibiotics are used to both prevent and treat bacterial infections. When bacteria adapt to the use of antibiotics, antibiotic resistance develops. Antibiotic resistance develops in bacteria, not in people or other animals. Both people and animals are susceptible to infection from these germs, and their illnesses are more difficult to treat than those caused by non-resistant bacteria. Antibiotic resistance causes greater mortality, longer hospital stays and higher medical expenses. The way antibiotics are prescribed and used worldwide has to alter immediately. Antibiotic resistance will continue to pose a serious hazard even if new medications are created. Additionally, behavioral changes must focus on improving food cleanliness, hand washing, practicing safer sex and being vaccinated in order to stop the spread of diseases. This chapter discusses the history, evolution and epidemiology of antibiotic resistance, antibiotic resistance mechanisms and their methods of detection, prevention of antibiotic-resistant organisms in healthcare settings and the role of artificial intelligence in prevention of antimicrobial resistance and drug discovery.
Surface functionalization of endotracheal tubes coated with laccase–gadolinium phosphate hybrid nanoparticles for antibiofilm activity and contrasting properties
Authors: Azmi Anita , Mojtabavi Somayeh , Fakhrmousavi Seyed Ali Asghar , Faizi Mehrdad , Forootanfar Hamid , Samadi Nasrin , Faramarzi Mohammad Ali
Published: December 2023

The schematic representation of the overall methodology.
Pt(ii)-bis(quinolinyl) complexes for photocatalytic hydrogen production
Authors: Gupta Rahat , Schott Olivier , Saha Arindam , Shriya  , Hanan Garry S. , Pal Amlan K.
Published: December 2023

Pt(ii)-bis(quinolinyl) complexes were used for photocatalytic H2 production with a TON of 1230 surpassing the performances of conventionally used Pt(ii)(terpyridyl) complexes.
A bivalent inhibitor against TDRD3 to suppress phase separation of methylated G3BP1
Authors: Fan Wei-Wei , Xu Tian , Gao Jia , Zhang Han-Yu , Li Yan , Hu Duo-Duo , Gao Shuaixin , Zhang Jia-Hai , Liu Xing , Liu Dan , Li Pi-Long , Wong Catherine C. L. , Yao Xue-Biao , Shi Yun-Yu , Yang Zhen-Ye , Wang Xi-Sheng , Ruan Ke
Published: December 2023

A bivalent inhibitor was uncovered to block the multivalent interactions among stress granules.
Single particle inductively coupled plasma mass spectrometry and its variations for the analysis of nanoparticles
Authors: Zhou Zichao , Beauchemin Diane
Published: December 2023

Single particle inductively coupled plasma mass spectrometry (spICPMS) can count and weigh metal-containing nanoparticles (NPs), enabling their sizing if their geometry, density, and composition are known.
Visible-light-induced ATRP under high-pressure: synthesis of ultra-high-molecular-weight polymers
Authors: Bernat Roksana , Szczepaniak Grzegorz , Kamiński Kamil , Paluch Marian , Matyjaszewski Krzysztof , Maksym Paulina
Published: December 2023

Using high-pressure and light irradiation, we innovatively synthesized UHMW polymers, overcoming traditional ATRP limitations.
Polyimide covalent organic frameworks bearing star-shaped electron-deficient polycyclic aromatic hydrocarbon building blocks: molecular innovations for energy conversion and storage
Authors: Yao Bin , Li Guowang , Wu Xianying , Sun Hongfei , Liu Xingyan , Li Fei , Guo Tingwang
Published: December 2023

Recent progress on energy conversion and storage using polyimide covalent organic frameworks bearing star-shaped electron-deficient polycyclic aromatic hydrocarbon building blocks is highlighted.
Spatially resolved fluoroalkylation and alkylation of graphene by direct laser writing
Authors: Al-Fogra Sabrin , Rohde Sofia , Speck Marcus , Hauke Frank , Hirsch Andreas , Wei Tao
Published: December 2023

Structurally well-defined and highly-integrated fluoroalkylated and alkylated graphene architectures bearing diverse functional groups are prepared by laser writing.
Controllable evolution of NiOOH/Au3+ active species for the oxidation of 5-hydroxymethylfurfural
Authors: Pang Xuliang , Huang Yifei , Zhao Huaiquan , Fan Weiqiang , Bai Hongye
Published: December 2023

An electrochemical activation was used to induce the evolution of Ni MOF/Au, which further demonstrated that the NiOOH/Au3+ interface is the active center for HMF oxidation.
Temperature driven transformations of glycine molecules embedded in interstellar ice
Authors: Yusef-Buey Maysa , Mineva Tzonka , Talbi Dahbia , Rapacioli Mathias
Published: December 2023

Possible transformations of canonical neutral glycine in interstellar water clusters and ices.
The energetics of N2 reduction by vanadium containing nitrogenase
Authors: Siegbahn Per E. M. , Wei Wen-Jie
Published: December 2023

The reaction mechanism of N2 reduction for V-nitrogenase has been studied by hybrid DFT with a cluster model. The calculations show that, after four reduction steps, a sulfide is released and in E1 the carbide is protonated. After a Jahn–Teller distortion of V3+, one hydride is bound to vanadium.
Correction: Extracting accurate information from triplet–triplet annihilation upconversion data with a mass-conserving kinetic model
Authors: Kalpattu Abhishek , Dilbeck Tristan , Hanson Kenneth , Fourkas John T.
Published: December 2023

Correction for ‘Extracting accurate information from triplet–triplet annihilation upconversion data with a mass-conserving kinetic model’ by Abhishek Kalpattu et al., Phys. Chem. Chem. Phys., 2022, 24, 28174–28190, https://doi.org/10.1039/D2CP03986A.
Construction of bimetallic phosphide nanostructures with in situ growth, reduction, and phosphidation of ultra-thin graphene layers as highly efficient catalysts towards the OER
Authors: Zhu Dengxia , Bi Huiting , Wang Chaolong , Zhang Zheng , Zhu Junjiang
Published: December 2023

In-situ growth of bimetallic silicate onto ultrathin graphene, followed by reduction and phosphorization to obtain uniformly dispersed FexNiP on graphene layers. rGO@Fe0.8NiP exhibits excellent OER activity and the overpotential (η10) is 266 mV.
Half-sandwich Ni(ii) complexes bearing enantiopure bidentate NHC-carboxylate ligands: efficient catalysts for the hydrosilylative reduction of acetophenones
Authors: Sanz-Garrido Jorge , Martin Avelino , González-Arellano Camino , Flores Juan C.
Published: December 2023

Chiral [Ni(Cp)(κ2-C,O-NHC)] and [Ni(κ2-C,O-NHC)2] containing carbene-carboxylate chelate ligands derived from the (S)-isomeric form of amino acids.
2-Methylimidazole-modulated 2D Cu metal–organic framework for 5-hydroxymethylfurfural hydrodeoxygenation
Authors: Li Zhuo-Fei , Li Yan-Ting , Zhang Qiang , Hu Tong-Liang
Published: December 2023

A bottom-up strategy was used to prepare an MOF-based catalytic material with a two-dimensional nanosheet morphology, in which 2-methylimidazole was the additive. It is of great significance in the preparation of 2,5-dimethylfuran from 5-hydroxymethylfurfural.
House dust mite extract forms a der p 2 corona on multi-walled carbon nanotubes: implications for allergic airway disease
Authors: Dominguez Judith , Holmes Samantha K. , Bartone Ryan D. , Tisch Logan J. , Tighe Robert M. , Bonner James C. , Payne Christine K.
Published: December 2023

MWCNTs are used in a variety of industrial applications. Inhalation of MWCNTs can occur during manufacturing and handling. We address the interaction of MWCNTs with house dust mite allergens (a source of asthma) and lung fluid proteins.
Clearance of nanoparticles from blood: effects of hydrodynamic size and surface coatings
Authors: Lu Bingqing , Wang Jiaqi , Hendriks A. Jan , Nolte Tom M.
Published: December 2023

The clearance pathways of nanoparticles from blood following pore penetration and phagocytosis (take the liver and kidney as examples).
Prospects of surfactant assisted dispersive liquid–liquid microextraction for the selective extraction of silver and titanium dioxide nanoparticles from tap water and determination by spICP-MS
Authors: Justo-Vega Ana , Domínguez-González Raquel , Bermejo-Barrera Pilar , Moreda-Piñeiro Antonio
Published: December 2023

The widespread use of inorganic nanoparticles (NPs), especially silver (Ag) and titanium dioxide (TiO2) NPs, has led to growing concern about their impact on human health and the environment.
3D grape string-like heterostructures enable high-efficiency sodium ion capture in Ti3C2Tx MXene/fungi-derived carbon nanoribbon hybrids
Authors: Liu Ningning , Yuan Jianhua , Zhang Xiaochen , Ren Yifan , Yu Fei , Ma Jie
Published: December 2023

A 3D grape string-like heterostructure of Ti3C2Tx hollow microspheres/fungi-derived N-doping carbon nanoribbons was prepared through template method and bio-adsorption, and its HCDI performance was discussed.
Correction: Superprotonic conductivity in RbH2−3y(PO4)1−y: a phosphate deficient analog to cubic CsH2PO4 in the (1 − x)RbH2PO4 − xRb2HPO4 system
Authors: Xiong Grace , Wang Louis S. , Haile Sossina M.
Published: December 2023

Correction for ‘Superprotonic conductivity in RbH2−3y(PO4)1−y: a phosphate deficient analog to cubic CsH2PO4 in the (1 − x)RbH2PO4 − xRb2HPO4 system’ by Grace Xiong et al., Mater. Horiz., 2023, 10, 5555–5563, https://doi.org/10.1039/D3MH00852E.
Glutathione S-transferase templated copper nanoclusters as a fluorescent probe for turn-on sensing of chlorotetracycline
Authors: Wang Jiaxi , Chen Wenting , Cao Lei , Zhou Mengyan , Geng Yongkang , Liu Yifei , Ding Shushu , Fu Ding-Yi
Published: December 2023

The sensing platform provided a novel strategy for quantitative detection of CTC.
A strongly coupled 3D SnS2@Ti3C2Tx heterojunction with vacancies for high-efficiency sodium storage
Authors: Sheng Weilin , Yang Ju , Jiang Guanglu , Liu Najun , Peng Huili , Zheng Xiuwen , Jiang Xiaolei
Published: December 2023

We have developed a SnS2@Ti3C2Tx sandwich structure through heterojunction engineering. By anchoring SnS2 to Ti3C2Tx, this interlocking cooperative heterostructure effectively mitigates Ti3C2Tx self-stacking and exposes numerous active sites on the surface.
Harnessing photocatalytic and electrochemical approaches for C–H bond trifluoromethylation and fluoroalkylation
Authors: Shaw Ranjay , Sihag Naveen , Bhartiya Hemaang , Yadav M. Ramu
Published: December 2023

The review summarises various photo- and electrochemical strategies for trifluoromethylation and fluoroalkylation of different C(sp3)–H, C(sp2)–H, and C(sp)–H bonds in several classes of organic molecules.
Research progress on the conformational properties of comb-like polymers in dilute solutions
Authors: Zhu Mo , Pan Xuejun , Zheng Tao , Li Lianwei
Published: December 2023

Research progress on the conformational properties of comb-like polymers.
Identification of structural motifs critical for human G6PC2 function informed by sequence analysis and an AlphaFold2-predicted model
Authors: Hawes Emily M. , Claxton Derek P. , Oeser James K. , O’Brien Richard M.
Published: December 2023

G6PC2 encodes a glucose-6-phosphatase (G6Pase) catalytic subunit, primarily expressed in pancreatic islet β cells, which modulates the sensitivity of insulin secretion to glucose and thereby regulates fasting blood glucose (FBG). Mutational analyses were conducted to validate an AlphaFold2 (AF2)-predicted structure of human G6PC2 in conjunction with a novel method to solubilize and purify human G6PC2 from a heterologous expression system. These analyses show that residues forming a predicted intramolecular disulfide bond are essential for G6PC2 expression and that residues forming part of a type 2 phosphatidic acid phosphatase (PAP2) motif are critical for enzyme activity. Additional mutagenesis shows that residues forming a predicted substrate cavity modulate enzyme activity and substrate specificity and residues forming a putative cholesterol recognition amino acid consensus (CRAC) motif influence protein expression or enzyme activity. This CRAC motif begins at residue 219, the site of a common G6PC2 non-synonymous single-nucleotide polymorphism (SNP), rs492594 (Val219Leu), though the functional impact of this SNP is disputed. In microsomal membrane preparations, the L219 variant has greater activity than the V219 variant, but this difference disappears when G6PC2 is purified in detergent micelles. We hypothesize that this was due to a differential association of the two variants with cholesterol. This concept was supported by the observation that the addition of cholesteryl hemi-succinate to the purified enzymes decreased the Vmax of the V219 and L219 variants ∼8-fold and ∼3 fold, respectively. We anticipate that these observations should support the rational development of G6PC2 inhibitors designed to lower FBG.
The PDLIM family of actin-associated proteins and their emerging role in membrane trafficking
Authors: Healy Michael D. , Collins Brett M.
Published: December 2023

The PDZ and LIM domain (PDLIM) proteins are associated with the actin cytoskeleton and have conserved in roles in metazoan actin organisation and function. They primarily function as scaffolds linking various proteins to actin and its binding partner α-actinin via two conserved domains; an N-terminal postsynaptic density 95, discs large and zonula occludens-1 (PDZ) domain, and either single or multiple C-terminal LIN-11, Isl-1 and MEC-3 (LIM) domains in the actinin-associated LIM protein (ALP)- and Enigma-related proteins, respectively. While their role in actin organisation, such as in stress fibres or in the Z-disc of muscle fibres is well known, emerging evidence also suggests a role in actin-dependent membrane trafficking in the endosomal system. This is mediated by a recently identified interaction with the sorting nexin 17 (SNX17) protein, an adaptor for the trafficking complex Commander which is itself intimately linked to actin-directed formation of endosomal recycling domains. In this review we focus on the currently understood structural basis for PDLIM function. The PDZ domains mediate direct binding to distinct classes of PDZ-binding motifs (PDZbms), including α-actinin and other actin-associated proteins, and a highly specific interaction with the type III PDZbm such as the one found in the C-terminus of SNX17. The structures of the LIM domains are less well characterised and how they engage with their ligands is completely unknown. Despite the lack of experimental structural data, we find that recently developed machine learning-based structure prediction methods provide insights into their potential interactions and provide a template for further studies of their molecular functions.
Effects of Script Training to Improve Discourse in a Patient With Chronic Aphasia
Authors: Hollo Alexandra , Ensar Büşra , Meigh Kimberly M.
Published: December 2023

Purpose:

Script training is a well-known treatment designed to improve functional communication in patients with aphasia. In this clinical study, we examined the effects of low-tech script training for J.W., a 73-year-old patient with chronic nonfluent aphasia acquired at age 60 years.

Method:

Using a single-subject, multiple-baseline design across three scripts, we assessed the effects of script training on percent script correct (PSC) and words per minute (WPM). The study took place in a university-based outpatient clinic and consisted of six training sessions plus 15 min of recommended daily homework. We adapted standard procedures in accordance with J.W.'s individual strengths, limitations, and preferences.

Results:

J.W. reached criterion (PSC = 80%) within two to three training sessions across three scripts (pretreatment:
M
= 17%, posttreatment:
M
= 83%). Moreover, he improved in communication effectiveness, nearly doubling his rate of speech from pre- (
M
= 31.53 WPM) to posttreatment (
M
= 59.59 WPM) sessions.

Conclusions:

We conclude that a brief script training intervention improved the ability to communicate effectively and efficiently for this patient with chronic aphasia. Anecdotally, J.W. also reported using the scripts successfully outside of the therapy room on a regular basis and expressed an interest in using script training in the future. Although methodological limitations of this clinical study must be considered, low-tech script training appears to have benefited this patient's ability to engage in functional discourse even 13 years poststroke.
Towards navigation in endoscopic kidney surgery based on preoperative imaging
Authors: Acar Ayberk , Lu Daiwei , Wu Yifan , Oguz Ipek , Kavoussi Nicholas , Wu Jie Ying
Published: December 2023

Endoscopic renal surgeries have high re‐operation rates, particularly for lower volume surgeons. Due to the limited field and depth of view of current endoscopes, mentally mapping preoperative computed tomography (CT) images of patient anatomy to the surgical field is challenging. The inability to completely navigate the intrarenal collecting system leads to missed kidney stones and tumors, subsequently raising recurrence rates. A guidance system is proposed to estimate the endoscope positions within the CT to reduce re‐operation rates. A Structure from Motion algorithm is used to reconstruct the kidney collecting system from the endoscope videos. In addition, the kidney collecting system is segmented from CT scans using 3D U‐Net to create a 3D model. The two collecting system representations can then be registered to provide information on the relative endoscope position. Correct reconstruction and localization of intrarenal anatomy and endoscope position is demonstrated. Furthermore, a 3D map is created supported by the RGB endoscope images to reduce the burden of mental mapping during surgery. The proposed reconstruction pipeline has been validated for guidance. It can reduce the mental burden for surgeons and is a step towards the long‐term goal of reducing re‐operation rates in kidney stone surgery.
A hierarchical control strategy for reliable lane changes considering optimal path and lane‐changing time point
Authors: Fan Jiayu , Zhan Yinxiao , Liang Jun
Published: December 2023

Implementing reliable lane changes is crucial for reducing collisions and enhancing traffic safety. However, existing research lacks comprehensive investigation into the optimal path for maintaining driving quality, and little attention has been given to determining the appropriate lane changing time point. This paper addresses these gaps by presenting a novel hierarchical strategy. First, a synthesized safety distance for lane changing, which considers variable execution duration, is designed to reduce collision risk. Next, a hierarchy of optimization control strategies is proposed to obtain the optimal path. An upper neural network‐fuzzy control algorithm is established to identify an appropriate lane‐changing time point. Additionally, a lower neural network‐improved firefly algorithm is formulated to optimize the preliminary safety path based on multiple driving criteria. Furthermore, the dynamics characteristics of the vehicle are incorporated into the model predictive control algorithm to ensure the vehicle follows the optimal path. Finally, the feasibility of the proposed hierarchical control strategy is validated through typical lane‐changing scenarios conducted on the Carsim–Simulink platform.
Distribution network power flow calculation based on the BPNN optimized by GA‐ADAM
Authors: Liu Huijia , Feng Ling , Wu Yi , Teng Jie , Xiao Dong
Published: December 2023

Power system operation and control are based on power flow calculations. In order to solve the uncertainty of the increasing penetration of renewable energy, the voltage fluctuation at the load point increases in the distribution network, and the inaccuracy of the power flow calculation due to the insufficient power flow data collection capability of the traditional power system. In this paper, a data‐driven power flow analysis model is proposed, a back propagation neural network combined with genetic algorithm (GA) and adaptive moment estimation (ADAM) optimization algorithm model is constructed to analyze the power flow calculation method of distribution networks under stochasticity. Firstly, the power flow initial value information, topology characteristics, and power factor index are introduced to construct a training set, and the mapping relationship between bus voltage and power is fully explored by training the regression model. Second, the GA‐ADAM algorithm is used to optimize the initial values and weight parameters of the model. Finally, it is verified based on IEEE‐33 bus distribution model, and the model is used for power flow calculation, and compared with other methods through each relevant error evaluation indicators. The results show that the model constructed in this paper has small error indicators and high accuracy, which improves the efficiency and accuracy of power flow calculation.
Optimization method of 3D reconstruction of metal cultural relics based on 3D laser scanning data reduction
Authors: Chen Xiang , Wang Ling , Ding Feng
Published: December 2023

The extraction effect and feature matching are poor in the three‐dimensional reconstruction of metal cultural relics, which leads to a poor reconstruction effect. Therefore, an optimization method of three‐dimensional reconstruction of metal cultural relics based on 3D laser scanning data reduction is proposed. The overall technical design route of the method is shown as follows. Based on this model, the 3D laser scanning method is used to collect 3D images of metal artefacts, combined with colour space and 2D entropy detection methods to pre‐process 3D images, and feature matching of point clouds is carried out to extract and optimize the significant value of superpixels, and a 3D reconstructed visual model is constructed. Affine transformation is used to obtain the affine invariant moment of the structural light parameters of the visual feature lines of metal cultural relics. The light stability adjustment of the three‐dimensional reconstruction of metal cultural relics is realized by using the linear structural light adjustment method in the HSV colour space. The rigid and non‐rigid registration methods are introduced to match the point cloud. The product quantization algorithm is used to linearize the error function, and the block feature detection and matching model of spatial image is obtained. The noise number is judged by the threshold value, and the three‐dimensional reconstruction technology is combined to realize the three‐dimensional reconstruction of metal relics. The simulation results show that this method has good visual expression ability, high feature recognition rate, and improves the three‐dimensional reconstruction ability of metal relics.
Visible and near-infrared spectral results of Chang’E-5 surficial and subsurface soils
Authors: Wu Y. Z. , Chai Y. M. , Lu Y. , Chen X. J. , Wang W. W. , Jin Q.
Published: December 2023

Aims. Studies on high-resolution and high-precision laboratory reflectance spectra of the Moon have historically been restricted to the analysis of old Apollo samples (>3.0 Ga). In contrast, studies of young lunar soils have exclusively relied on the analysis of remote sensing spectra. In this study, we present the results of a laboratory spectral investigation of young lunar soils (~2.0 Ga) obtained by the Chang’E-5 (CE-5) mission.

Methods. We analyzed surficial and subsurface soils collected through scooped and drilled sampling methods. The laboratory reflectance spectra of the CE-5 soils were compared with those of Apollo soils and orbital spectra. Two methods were employed for maturity inversion. The relationship between the UV-vis color and TiO2 content of young basalts was also investigated.

Results. The CE-5 samples exhibit much fresher spectral features, including higher reflectance, deeper absorption depths, and a smaller visible and near-infrared continuum slope (VNCS), compared to pristine regolith. The subsurface soils sampled from a depth of approximately 10 cm exhibit a slightly fresher spectral feature compared to the surficial soils. Our comparison revealed a rapid rate of space weathering at the lunar surface compared to the vertical overturn. Compared to older iron-rich soils, the CE-5 soils have a larger reflectance but similar UV-vis ratios. The UV-vis ratio alone could not accurately predict the TiO2 content of all mare basalts. The CE-5 samples provide a new ground truth for estimating the TiO2 content of young lunar basalts, which have the largest uncertainty in TiO2 content, as estimated from spectral parameters. We find that the samples returned by the CE-5 mission represent disturbed soils and that they exhibit significantly fresher characteristics compared to pristine regolith, a fact that should be kept in mind when using samples as ground truth for remote sensing research.
Women’s Roles in Beef Cattle Farming Households in Nagari Lakitan Utara, Pesisir Selatan Regency, Sumatra Barat Province
Authors: Andarwati Siti , Guntoro Budi , Fajri Muhammad
Published: December 2023

Gender equality is one of the main aspects in the sustainable development goals. This study aimed to analyze the roles of women in the households of beef cattle raising farmers in Nagari Lakitan Utara, Pesisir Regency, Sumatra Barat Province. This research involved 100 farmer households and collaborating partners from related institutions, employing the Harvard gender model of analysis and using the approach of Level of Effort (LoE) values. Results showed that women had significantly important roles in the management of beef cattle raising, starting from providing the logistical needs to managing the finances from cattle sales. In particular, women showed greater roles in herding as well as contacting inseminators and veterinarians in the case of ill animals.
Biodiversity in Lower Montane Forest of Petungkriyono: A Review
Authors: Pratiwi Dian , Yuwati Tri Wira , Lestari Sri , Indrajaya Yonky , Eka Dewi Astarina
Published: December 2023

One of the symbols of biodiversity in Indonesia’s lower montane forest is Petungkriyono. Due to its location adjacent to populated areas, it has an impact on the survival of the local flora and animals in the Petungkriyono forest area. This study aims to provide a preliminary description of the plant and animal species found in the Petungkriyono forest area. A synoptic review method to Petungkriyono biodiversity publications was used in the writing of the article. The study’s findings revealed that the Petungkriyono forest region consisted of 168 species of wildlife and 204 species of plants. Certain species are endemic, while others fall into the IUCN conservation status categories of Vulnerable (VU), Endangered (EN), and Critically Endangered (CR). It is also a certain that a number of species will be added to the CITES Appendix list in 2023 (Appendices I and II). The demands of population expansion and poaching are the current issues, burdening the forest areas that are already there. High biodiversity, stunning scenery, and the presence of indigenous knowledge can all present opportunities for ecotourism. Immediate implementation of conservative measures, such as maximizing current opportunities to preserve biodiversity, is essential.
Comparative effect of polymer coating materials on physical properties of NPK fertilizer pellet
Authors: Trimulyadi Rekso Gatot
Published: December 2023

Slow-release fertilizer is one method to reduce the rate of loss of fertilizer from the soil due to leaching by rainwater or irrigation water. One of the agents that can be used for slow-release fertilizers is polymeric materials coated on NPK fertilizers. The NPK fertilizer coating polymer material used was a mixture of starch, acrylamide, PVA, and chitosan that was formulated and irradiated at a dose of 20 kGy. The purpose of this study was to obtain the best comparison between coating materials and NPK fertilizers made with a pelletizer machine. NPK fertilizer is mashed and mixed with polymer coating material with a weight ratio of NPK coating material/fertilizer; 1/9, 2/8, and 3/7. The results obtained showed the largest pellet yield capacity using a ratio of coating material and NPK fertilizer with a weight ratio of 1/9 of 4.28 g/minute and the greatest durability value at a ratio of 3/7 with a value of 87.1%. NPK released in NPK fertilizer coated with a polymer coating and fertilizer in a ratio of 1/9, 2/8, and 3/7 resulted in the release of NPK with not too big a difference. In the analysis of the functional group by FTIR between non-irradiated formulation and irradiated 20 kGy, there was no addition or change of molecular structure in the functional group. whereas thermal analysis with DSC displayed endotherm at temperature 500C to 1200C and exotherm at temperature 2500C until 3200C for analysis of TGA degradation of the formulation is divided into 2 phases, in the first phase degradation begins at a temperature of 500C to 1500C losing weight of 5% and in the second phase of degradation at 2500C to 5000C losing weighs 47%
Plants Suitability for Landslides Mitigation in the Giritengah Catchment Area, Indonesia
Authors: Indri Masrianti Satwika , Kusumandari Ambar , Suryatmojo Hatma
Published: December 2023

Changes in land use caused by human dependence on land to meet food, clothing, and settlement needs are in line with population growth. This triggers the destruction of watersheds and results in an increased of disasters such as landslides that lead to decrease land productivity and less water throughout the year. This study aims to determine the plant suitability for both annual plant species (forestry plants), and seasonal crops (agricultural crops) in the Giritengah catchment area. In addition, this study also aims to provide the proposed species that are suitable and at the same time allow for land improvement efforts. The results showed that the suitability classes for forestry plant species (teak, sengon, and mahogany) and annual plant species (chili, banana, and cassava) in Giritengah catchment were unsuitable/incompatible (N) with erosion hazard level as the heaviest limiting factor. There are two variable levels of erosion hazard, which are one of the reasons for the unsuitability of these plant species, namely the slope, which tends to be steep and the shallow soil solumn. To overcome this, it is necessary to apply soil and water conservation techniques both technically and vegetative.
Retention And Availability of Andisol Soil Phosphorus in Monocultural and Policultural Crop Patterns in Ngablak and Getasan Subdistrict, Magelang and Semarang, Indonesia
Authors: Laila Rizqiyah Elia , Nuryani Hidayah Utami Sri , Heru Purwanto Benito
Published: December 2023

Element P in Andisol soil is absorbed by amorphous minerals such as allophane, imogolite , and amorphous Al/Fe. This study aims to determine the retention and availability of P as well as differences in soil chemical properties on land with monoculture and polyculture cropping patterns. Parameters measured were available-P, P-retention, texture, CEC, Corganic , pH (H2O, KCl , NaF ), Potential-P, Al/Fe/Si with three selective solvents. The sample used 3 replicates at 2 depths (0-20cm and 20-40cm) and 2 different locations, namely Ngablak Subdistrict and Getasan Subdistrict. The data obtained were processed using ANOVA for the RCBD design and LSD Fisher’s follow-up test. P retention data in Ngablak Subdistrict showed significantly different results, while those in Getasan Subdistrict were not significantly different. Available P did not show any significant difference, but the availability of P was higher in polyculture land. On agricultural land in Ngablak Subdistrict, cropping patterns have a significantly different effect on soil properties in the form of P retention and C-Organic. Meanwhile, on agricultural land in Getasan Subdistrict, cropping patterns had significantly different effects on soil properties of pH H2O, pH KCl , Potential-P, amorphous Al + Fe , and Allophane + Imogolite.
Predicting physicochemical properties of melon (Cucumis melo L.) using ultrasonic technology and artificial neural network
Authors: Yazid Izdihar Fahar , Khuriyati Nafis , Wagiman
Published: December 2023

As one of the favorite fruits widely produced and consumed in Indonesia, quality testing for melon (Cucumis melo L.) fruit is mostly done using destructive testing. To overcome this problem, this study aims to predict physicochemical quality properties of melon fruit non-destructively using ultrasonic and artificial neural network (ANN). Fifty-nine Hami melons were tested to measure the attenuation value of ultrasonic wave emission as a non-destructive variable, along with density and age. Then, destructive testing was conducted to measure physicochemical properties consisting of fruit flesh firmness, total soluble solids (TSS), titratable acidity (TA), pH, and vitamin C. The test data obtained were processed using ANN to acquire prediction models, with non-destructive data as input variables and each destructive data as output variable. The results showed that the prediction values were still not accurate. Reliability analysis conducted on the test data set based on R2 values (R2 ) and Normalized Root Mean Squared Error (NRMSE) values showed that the predicted values were still unreliable with R2 values that were still very low, ranging from -0.776 to 0.485, although the NRMSE value was relatively good.
Assessing the Viability of a Small Micro-Enterprise of an Urban Farming Group in Bausasran Village, Yogyakarta, in Developing a Vegetable-based Noodle Products
Authors: Luthfi Ash Shiddiqie Habib , Putra Ryan Anugrah , Wiranata Ardi , Ariyanto Teguh
Published: December 2023

Gemah Ripah Farmer Group, located in Bausasran Village, Danurejan District, Yogyakarta City, is one of the small farmer groups that have successfully practiced urban farming. The group grows vegetables and fruits. The harvest is then sold directly to consumers or distributors. To increase the economic value, the group plans to start a small micro-scale dry noodle product business by utilizing their cultivation results. In business planning, an economic feasibility analysis is required. This study aims to determine the business feasibility with the indicators of Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Added value analysis with Hayami Method. This study simulates two business scenarios for dry noodle production, namely own production and third-party production with three variables of production capacity analyzed, namely 760, 950, and 1140 units/month. The results of this study show that self production scenario with a production capacity of 1140 pieces/month produces a higher level of feasibility with a value of NPV, IRR and payback period of IDR 42,038,344, 59% and 1.88 years respectively. Value-added analysis provides added value in the self-production scenario of IDR 55,527/kg at the production rate of 1140 units/month.
The Importance of Feminism against Masculinity with reference to the play A Doll’s House
Authors: Xie Shengting
Published: December 2023

Ibsen, one of the most famous playwrights of the nineteenth century, has created a masterpiece that highly reflects feminism. He, from the external point of view, is a feminist writer. The play is written by describing the marriage relationship in the family of humanism. It shows the face of the capitalist society, exposing its selfish and hypocritical nature and the "doll" of women in the family. Nora, in this case, is a family doll, a victim of a patriarchal society. She had become a doll under his husband’s hand and the hand of the masculine society. Based on Simone de Beauvoir’s feminism theory, the paper focuses on Ibsen’s personal experience in creating the play during that specific time which stimulated the growth of the women’s movement. To stress the importance of the paper, the paper does not only focus on the female image by the character Nora but also on how Hermer stimulates revolt from Nora in reflecting the society.
The construction of female image in Nothing but Thirty from the perspective of feminism
Authors: Wei Zixi , Huang Chengxiang
Published: December 2023

With the arrival of the 21st century, the urban female group image TV series has become a new trend in contemporary film and TV series. Take Nothing but Thirty as an example, this kind of film and television reflects the important position of feminism in the current society. Through the portrayal of different types of Gu Jia, Wang Manni and other characters, the series has a real and vivid portrayal of the contemporary female group. This thesis combines feminist theory with the construction of female image, explores how Gu Jia, Wang Manni, Zhong Xiaoqin and other characters get out of the group image syndrome of women, and carry out self-transformation and self-construction in self-consciousness, thus revealing the deep mechanism of contemporary female image shaping and construction.
Research and Practical Exploration of New Models of Social Governance in the Age of Artificial Intelligence
Authors: Zhang Haoming
Published: December 2023

With the rapid development of artificial intelligence, social governance is facing new challenges and opportunities. This study aims to explore new models of social governance in the era of artificial intelligence, in order to contribute to social stability and development. Through literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence of artificial intelligence. literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence of Through literature review and empirical research, this paper first reviews the rapid application of artificial intelligence technology and the emergence of related issues, and then explores the new situations and challenges faced by social governance in the era of artificial intelligence. Based on in-depth analysis of various governance practices, this paper proposes an innovative new model of social governance, namely the co-governance model supported by artificial intelligence. By fully utilising artificial intelligence technology and establishing an intelligent social governance system, it promotes collaboration and interaction between government and the private sector. By fully utilising artificial intelligence technology and establishing an intelligent social governance system, it promotes collaboration and interaction between government and the public, as well as between enterprises and individuals, thereby achieving By fully utilising artificial intelligence technology and establishing an intelligent social governance system, it promotes collaboration and interaction between government and the public, as well as between enterprises and individuals, thereby achieving rationalization, efficiency, and sustainable development of social governance. Finally, through case studies and practical exploration, the implementation and effects of the proposed new model of social governance are demonstrated. The results of this study are of great significance for promoting innovation and practice in social governance theory.
Study on the Translation of Culture-loaded Terms under the Translation-environment Ecology -- Taking the Chinese-English Version of Poem Meige as an Example
Authors: Ke Yiman
Published: December 2023

Eco-translatology promotes the development of research activities by focusing on textual life, the translator’s survival, and translation-environment ecology. The cultural classics of ethnic minorities have unique culture-loaded terms. Through translation studies, we can analyze the translation effect of cultural classics and the performance of translation-environment ecology in translation. To realize the understanding of the relationship between translation, language, and culture.
Excavate Spiritual Power in History and Explore Innovative Practice for the Future – Research on Curriculum Teaching and Innovation Ability Training
Authors: Cai Gang , Wu Lingyan , Lai Yuhua , Nie Pengcheng
Published: December 2023

For science and engineering students, how to carry out curriculum ideological and political education is a very important research topic. The course makes full use of the rich red cultural resources of the Soviet Area, excavates ideological and political materials from history, integrates the Spirit of the Soviet Area into the whole process of professional course learning, faces the challenge of future scientific and technological development to the cultivation of professional talents, advocates the craftsmanship spirit, explores the practice of cultivating innovative ability, and cultivates the red and professional social director builders and successors through the "two combination and double promotion" curriculum reformation.