bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytical investigation of Carreau fluid flow through a non-circular conduit with wavy wall
Authors: Shahzad Muhammad Hasnain , Awan Aziz Ullah , Akgül Ali , Nadeem Sohail , Guedri Kamel , Hassani Murad Khan , Makhdoum Basim M.
Published: January 2024

Peristaltic flow through an elliptic channel has vital significance in different scientific and engineering applications. The peristaltic flow of Carreau fluid through a duct with an elliptical cross-section is investigated in this work . The proposed problem is defined mathematically in Cartesian coordinates by incorporating no-slip boundary conditions. The mathematical equations are solved in their dimensionless form under the approximation of long wavelength. The solution of the momentum equation is obtained by applying perturbation technique ($$W_e^2$$

W
e
2

as perturbation parameter) along with a polynomial solution. We introduce a new polynomial of twenty degrees to solve the energy equation. The solutions of mathematical equations are investigated deeply through graphical analysis. It is noted that non-Newtonian effects are dominant along the minor axis. It is found that flow velocity is higher in the channels having a high elliptical cross-section. It is observed from the streamlines that the flow is smooth in the mid-region, but they transform into contours towards the peristaltic moving wall of the elliptic duct.
Preliminary exploration of hepatic parenchymal near-infrared fluorescence imaging technique via retrograde biliary approach: a feasibility study (with video)
Authors: Gao Fengwei , Xie Qingyun , Zhao Xin , Yang Manyu , Jiang Kangyi , Zhang Ling , Mao Tianyang , Wu Hong
Published: January 2024

This paper explores the feasibility and principle of hepatic parenteral fluorescence imaging technology after retrograde injection of indocyanine green (ICG) through endoscopic nasobiliary drainage (ENBD). The data were collected from 53 patients with cholecystolithiasis and choledocholithiasis, from October 2022 to March 2023, diagnosed by fluorescence imaging technique retrograde biliary approach (FIT-RB). We divided the patients into two groups according to the features of liver parenchyma, the poor group (n = 34, including scattered or no imaging) and the good group (n = 19, regular uniform imaging). We compared and analyzed the perioperative results of the two groups and explored the influencing factors of the success of FIT-RB and the ICG concentration suitable for this imaging technique. The good imaging rate of the 53 enrolled cases was 35.8%. The bilirubin level before ENBD and laparoscopic cholecystectomy in the poor group was significantly higher than that in the good group (P < 0.001). The proportion of higher ICG concentrations (0.5 mg/mL) was significantly higher in the good group (P = 0.028). Our results demonstrated that the success rate of good imaging was 4.53 times higher than that of low-dose ICG (0.125 or 0.25 mg/L) cases at 0.5 mg/ml of ICG. The level of total bilirubin and direct bilirubin were negatively correlated with the imaging effect, and total bilirubin and direct bilirubin levels were important predictors of the efficacy of FIT-RB. FIT-RB is safe and feasible in patients with low site bilirubin levels. An ICG concentration of 0.5 mg/ml may be ideal for implementing this technique.
Single-cell analysis reveals ADGRL4+ renal tubule cells as a highly aggressive cell type in clear cell renal cell carcinoma
Authors: Wang Zehua , Zhang Zhongxiao
Published: January 2024

Clear cell renal cell carcinoma (ccRCC) is a highly heterogeneous cancer that poses great challenge to clinical treatment and prognostic prediction. Characterizing the cellular landscape of ccRCC in a single-cell dimension can help better understand the tumor heterogeneity and molecular mechanisms of ccRCC. This study analyzed single-cell profiles in ccRCC samples and para-tumor samples from Gene Expression Omnibus and identified a highly heterogeneous subcluster of renal tubule cells. Single-cell regulatory network inference and clustering analyses and cell communication analysis were performed to develop transcription factor-target gene regulatory networks and cell–cell interactions. Additionally, the distribution and prognostic risk of renal tubule cells from spatial transcriptome data (GSM6415706) and The Cancer Genome Atlas-Kidney Clear Cell Carcinoma data were analyzed. A total of 10 cell types were identified in ccRCC and para-tumor samples. The ccRCC renal tubule cells showed a high expression of the oncogene nicotinamide N-methyltransferase and a significantly high degree of tumor heterogeneity. We further identified 6 cell subclusters with specific expression of BEX2, PTHLH, SFRP2, KLRB1, ADGRL4, and HGF from the ccRCC renal tubule cells. ADGRL4+ renal tubule cells had highly metastatic and angiogenesis-inducing characteristics, with more ADGRL4+ renal tubule cells indicating a worse survival. ADGRL4+ renal tubule cells regulated the metastasis of other renal tubule cells through metastasis-related receptor-ligand communication. We also found that ADGRL4+ renal tubule cells clustered around the glomeruli but the rest of the renal tubule cell subclusters rarely localized in ccRCC tissues. ETS1 and ELK3 -dominant GRNs were remarkably activated in ADGRL4+ renal tubule cells, functionally, knockdown of ELK3 in A498 significantly disturbedaffected the cell migration and invasion. ADGRL4+ renal tubule cells, which were highly metastatic and invasive, might be an essential cell subcluster for ccRCC, and ADGRL4 could be used a novel therapeutic target.
Laryngeal cartilage calcifications on lateral cephalometric radiographs
Authors: Sycińska-Dziarnowska Magdalena , Lindauer Steven J. , Szyszka-Sommerfeld Liliana , Spagnuolo Gianrico , Woźniak Krzysztof
Published: January 2024

The aim of this study was to determine the influence of age and gender on the incidence of calcification in laryngeal cartilage diagnosed on lateral cephalometric radiographs routinely taken for orthodontic diagnosis. The lateral cephalometric radiographs of 957 patients who met the study criteria were analyzed from among the 1000 lateral radiographs originally collected. The images were evaluated independently by two investigators. Given the dichotomous dependent variable (calcification or no calcification), a mixed logistic regression model was used to test how age and gender affected calcification. The effect of age and gender reliably determined the likelihood of laryngeal cartilage calcification. The greatest differences in the degree of calcification by gender were found at ages 20–25 years. The degree of calcification increased with age, reaching 100% in women at age 30 and in men at age 50. In women, the degree of calcification was higher than in men from the age of 13 years and levelled off at the age of 50 years. The interrater agreement was strong k = 0.97, z = 30.0, p < .001. Calcification can be detected by orthodontists trained in lateral cephalogram analysis and can be used as a screening or diagnostic tool to detect calcified areas in the larynx.
Optimization of building integrated energy scheduling using an improved genetic whale algorithm
Authors: Wei Liming , An Guoqing
Published: January 2024

Renewable energy generation has become the general trend with increasing environmental problems. However, the instability of renewable energy generation and the diversification of user demand are highlighted and the optimization of energy scheduling has become the key to solve the problem. This study introduces an energy scheduling optimization model tailored for building integrated energy systems, encompassing elements like gas turbines, wind and solar modules, ground source heat pumps, electric vehicles, central air-conditioning, and energy storage. The model prioritizes economic efficiency and minimal carbon emissions by first collecting and pre-processing the data for the regional building conformance, and then utilizing an enhanced multi-objective genetic whale algorithm. Evaluations on a regional complex building highlighted the algorithm’s robust convergence and stability. The resulting optimized scheduling effectively balances economic and environmental concerns, reducing costs by about 92.896 yuan per day on average and reducing carbon emissions by about 0.091 tons, promoting efficient system operation, reducing costs and mitigating environmental impacts.
Deep inspiration breath hold real-time tumor-tracking radiation therapy (DBRT) as a novel stereotactic body radiation therapy approach for lung tumors
Authors: Tanaka Hidekazu , Ono Taiki , Ueda Kazushi , Karita Masako , Manabe Yuki , Kajima Miki , Sera Tatsuhiro , Fujimoto Koya , Yuasa Yuki , Shiinoki Takehiro
Published: January 2024

Radiotherapy with deep inspiration breath hold (DIBH) reduces doses to the lungs and organs at risk. The stability of breath holding and reproducibility of tumor location are higher during expiration than during inspiration; therefore, we developed an irradiation method combining DIBH and real-time tumor-tracking radiotherapy (RTRT) (DBRT). Nine patients were enrolled in this study. Fiducial markers were placed near tumors using bronchoscopy. Treatment planning computed tomography (CT) was performed thrice during DIBH, assisted by spirometer-based device. Each CT scan was fused using fiducial markers. Gross tumor volume (GTV) was contoured for each dataset and summed to create GTVsum; adding a 5-mm margin around GTVsum generated the planning target volume. The prescribed dose was mainly 42 Gy in four fractions. The treatment plan was created using DIBH CT (DBRT-plan), with a similar treatment plan created for expiratory CT for cases for which DBRT could not be performed (conv-plan). Vx defined as the volume of the lung received x Gy, and the mean lung dose, V20, V10, and V5 were evaluated. DBRT was completed in all patients. Mean dose, V20, and V10 were significantly lower in the DBRT-plan than in the conv-plan (all p = 0.003). Mean rates of decrease for mean dose, V20, and V10 were 14.0%, 27.6%, and 19.1%, respectively. No significant difference was observed in V5. We developed DBRT, a stereotactic body radiation therapy performed with the DIBH technique; it combines a spirometer-based breath-hold support system with an RTRT system. All patients who underwent DBRT completed the procedure without any technical or mechanical complications. This is a promising methodology that may significantly reduce lung doses.
Resting-state functional magnetic resonance imaging indices are related to electrophysiological dysfunction in degenerative cervical myelopathy
Authors: Akimoto Hironobu , Suzuki Hidenori , Kan Shigeyuki , Funaba Masahiro , Nishida Norihiro , Fujimoto Kazuhiro , Ikeda Hiroaki , Yonezawa Teppei , Ikushima Kojiro , Shimizu Yoichiro , Matsubara Toshio , Harada Kenichiro , Nakagawa Shin , Sakai Takashi
Published: January 2024

The age-related degenerative pathologies of the cervical spinal column that comprise degenerative cervical myelopathy (DCM) cause myelopathy due spinal cord compression. Functional neurological assessment of DCM can potentially reveal the severity and pathological mechanism of DCM. However, functional assessment by conventional MRI remains difficult. This study used resting-state functional MRI (rs-fMRI) to investigate the relationship between functional connectivity (FC) strength and neurophysiological indices and examined the feasibility of functional assessment by FC for DCM. Preoperatively, 34 patients with DCM underwent rs-fMRI scans. Preoperative central motor conduction time (CMCT) reflecting motor functional disability and intraoperative somatosensory evoked potentials (SEP) reflecting sensory functional disability were recorded as electrophysiological indices of severity of the cervical spinal cord impairment. We performed seed-to-voxel FC analysis and correlation analyses between FC strength and the two electrophysiological indices. We found that FC strength between the primary motor cortex and the precuneus correlated significantly positively with CMCT, and that between the lateral part of the sensorimotor cortex and the lateral occipital cortex also showed a significantly positive correlation with SEP amplitudes. These results suggest that we can evaluate neurological and electrophysiological severity in patients with DCM by analyzing FC strengths between certain brain regions.
RNA structure promotes liquid-to-solid phase transition of short RNAs in neuronal dysfunction
Authors: Wang Shiyu , Xu Yan
Published: January 2024

In nucleotide expansion disorders, RNA foci are reportedly associated with neurodegenerative disease pathogeneses. Characteristically, these RNAs exhibit long poly-RNA repeats, such as 47 × CAG, 47 × CUG, or 29 × GGGGCC, usually becoming abnormal pathological aggregations above a critical number of nucleotide repeats. However, it remains unclear whether short, predominantly cellular RNA molecules can cause phase transitions to induce RNA foci. Herein, we demonstrated that short RNAs even with only two repeats can aggregate into a solid-like state via special RNA G-quadruplex structures. In human cells, these solid RNA foci could not dissolve even when using agents that disrupt RNA gelation. The aggregation of shorter RNAs can be clearly observed in vivo. Furthermore, we found that RNA foci induce colocalization of the RNA-binding protein Sam68, a protein commonly found in patients with fragile X-associated tremor/ataxia syndrome, suppressing cell clonogenicity and eventually causing cell death. Our results suggest that short RNA gelation promoted by specific RNA structures contribute to the neurological diseases, which disturb functional cellular processes.
Steeped
Authors: Francl Michelle
Published: January 2024

Tea is the world’s most popular beverage. Dive into a cup of tea with a chemist and discover the rich molecular brew that can be extracted from the leaves of the Camellia sinensis plant. Tea contains over a hundred different chemical compounds which contribute to its colour, taste and scent – and its stimulating effects. The best-known is caffeine, but how does caffeine end up in tea and how can you get it out?

Beginning with the leaves, Steeped explores the chemistry behind different styles of tea, from green teas to pu-erh. It tackles the age-old question of when, or even whether, to add milk. And it puts the chemistry to use with advice on how to brew a better cup.
Time and spatially resolved VIS-NIR hyperspectral imaging as a novel monitoring tool for laser-based spectroscopy to mitigate radiation damage on paintings
Authors: Suzuki Amelia , Cheung C. S. , Li Yu , Hogg Alexander , Atkinson Patrick S. , Riminesi Cristiano , Miliani Costanza , Liang Haida
Published: January 2024

Reflectance spectroscopy is much more sensitive than Raman for laser induced damage detection; a damage prediction marker was identified using hyperspectral imaging; laser safety threshold depends on laser power, spot size and exposure time.
Superassembled MXene–carboxymethyl chitosan nanochannels for the highly sensitive recognition and detection of copper ions
Authors: Hu Xiaomeng , Zhou Shan , Zhang Xin , Zeng Hui , Guo Yaxin , Xu Yeqing , Liang Qirui , Wang Jinqiang , Jiang Lei , Kong Biao
Published: January 2024

We demonstrate a freestanding MXene/carboxymethyl chitosan nanochannel (MXene/CMC) membrane by a simple super-assembly strategy, which can achieve highly sensitive and stable detection of Cu2+ ions with a limit of detection of 0.095 nM.
Heterobifunctional rotaxanes featuring two chiral subunits – synthesis and application in asymmetric organocatalysis
Authors: Kauerhof Dana , Riebe Jan , Vonnemann Christoph J. , Thiele Maike , Jansen Dennis , Niemeyer Jochen
Published: January 2024

We reported acid–base functionalized rotaxanes featuring two chiral subunits. The mechanical bond leads to increased reaction rates and also to strongly altered enantioselectivites in comparison to the non-interlocked control catalysts.
Improving electrochemical hybridization assays with restriction enzymes
Authors: Zhou Xingcheng , Zamani Marjon , Austin Katherine , De Bock Marieke , Chaj Ullola Joshua , Riki Smah , Furst Ariel L.
Published: January 2024

We have developed an enzyme-assisted electrochemical hybridization assay to detect long nucleic acids (NAs), expanding the scope of NAs that can be detected with electrochemical hybridization.
Assessing the importance of multireference correlation in predicting reversed conductance decay
Authors: Cossaboon Tanner A. , Kazmi Samir , Tineo Matthew , Hoy Erik P.
Published: January 2024

We investigated the role of multireference correlation effects in oligophenyl chains to clarify their importance compared to electrode design and coupling as well as geometric effects in causing conductance decay reversals.
Quorum sensing-induced transition from colloidal waves to Turing-like patterns in chemorepulsive active colloids
Authors: Cao Jiaqi , Wu Jiaxin , Hou Zhonghuai
Published: January 2024

This study reveals a quorum sensing-triggered transition in active colloids, unveiling a pathway from dynamic waves to static patterns, highlighting local particle density's role in collective behavior.
Direct spectroscopic evidence for the high-spin state of dioxidomanganese(v)
Authors: Ablyasova Olesya S. , Zamudio-Bayer Vicente , Flach Max , da Silva Santos Mayara , Lau J. Tobias , Hirsch Konstantin
Published: January 2024

The spin state of metal centers in catalytic reactions can be rate limiting when high-valent metals such as manganese are involved. Here, we demonstrate dioxidomanganese(v) to be only the second manganese(v) compound to exhibit a high spin state.
Transition metal small clusters anchored on biphenylene for effective electrocatalytic nitrogen reduction
Authors: Gao Yan , Li Qingchen , Yin Zhilii , Wang Haifeng , Wei Zhong , Gao Junfeng
Published: January 2024

Scheme of transition metal small clusters TMn (TM = V, Fe, Ni, Mo, Ru, Rh, W, Re, Ir; n = 1–4) anchored on biphenylene for effective electrocatalytic nitrogen reduction.
Ethylene production: process design, techno-economic and life-cycle assessments
Authors: Chen Yuqiu , Kuo Mi Jen , Lobo Raul , Ierapetritou Marianthi
Published: January 2024

The potential of replacing steam cracking with ODHE using a B-CHA catalyst is first investigated through comprehensive techno-economic and life-cycle assessments.
Fast and on-site animal species identification in processed meat via centrifugal microfluidics and isothermal amplification
Authors: Niebling Laura , Nitzsche Ramona , Sieksmeyer Thorben , Haskamp Vera , Kissenkötter Jonas , Abd El Wahed Ahmed , Teufel Thomas , Hermann Herbert , Paust Nils , Homann Ana R.
Published: January 2024

We present a novel centrifugal microfluidic approach to rapidly identify animal species in meat products.
In situ self-reconstructed hierarchical bimetallic oxyhydroxide nanosheets of metallic sulfides for high-efficiency electrochemical water splitting
Authors: Fan Yaning , Zhang Junjun , Han Jie , Zhang Mengyuan , Bao Weiwei , Su Hui , Wang Nailiang , Zhang Pengfei , Luo Zhenghong
Published: January 2024

The obtained bimetallic sulfide catalyst can be reconstituted as FeCoOOH, which has high efficacy for water splitting. The activation energy barrier of key reaction steps can be effectively reduced by dual-metal cooperation.
A smart portable electrochemical sensor based on electrodeposited ferrocene-functionalized multiwalled carbon nanotubes for in vitro and in vivo detection of nicotine in tobacco samples
Authors: Su Zhaohong , Hu Shiyu , Xu Yanqun , Liu Ju , Liang Pengcheng , Wang Jiaqi , Cao Qinyi , Peng Yi , Zhang Wei , Fan Duoqing
Published: January 2024

“One stone–three birds”: we developed a smart portable electrochemical sensor based on electrodeposited ferrocene-functionalized multiwalled carbon nanotubes (FC-MWCNTs) for the in vitro and in vivo detection of nicotine (NIC) in tobacco samples.
A non-equilibrium dissipation system with tunable molecular fuel flux
Authors: Yang Jiayu , Zhang Tengfang , Zhang Linghao , Su Xin
Published: January 2024

We present a bionic dissipation system featuring adjustable fuel flux by dynamic DNA nanotechnology allowing for controllable transient states.
CoPolDB: a copolymerization database for radical polymerization
Authors: Takahashi Kei-ichiro , Mamitsuka Hiroshi , Tosaka Masatoshi , Zhu Nanyi , Yamago Shigeru
Published: January 2024

CoPolDB, a database of radical copolymerization with many useful graphical user interface functions, is created. Users can intuitively understand copolymerization kinetics and structures through graphics and design copolymers according to monomer reactivity.
Impacts of ancillary ligand coordination modes on red-emitting cyclometalated iridium complexes
Authors: Jiang Chenggang , Teets Thomas S.
Published: January 2024

Red-phosphorescent bis-cyclometalated iridium compounds with salicylaldimine, 2-picolinamide, and related ancillary ligand classes are described; the 2-picolinamide analogues exhibit multiple binding modes that influence photophysical properties.
Deriving paired Fe sites on N-doped carbon from Fe(iii)-tetrapyridinylporphyrin-modified ZIF-8: robust electrocatalysts for air electrodes in zinc–air batteries
Authors: Yang Guiyuan , Hu Fangyuan , Cui Li-Li , Fan Meihong , Ge Xin , He Xingquan , Zhang Wei , Asefa Tewodros
Published: January 2024

An efficient ORR electrocatalyst composed of homonuclear paired Fe sites coordinated onto N-doped carbon (Fe2–N–C-900) is synthesized by pyrolyzing FeTPyP-modified ZIF-8. The catalyst has better activity and stability than the commercial Pt/C.
Iron-catalyzed carboamination of vinylarenes with alkanes and nitrogen nucleophiles
Authors: Zhu Fengxiang , Xue Jianxin
Published: January 2024

Carboamination of alkenes is rapidly emerging as an essential strategy for synthesizing complex nitrogen-containing compounds.
Recent advances in single-atom alloys: preparation methods and applications in heterogeneous catalysis
Authors: Zhang Shuang , Wang Ruiying , Zhang Xi , Zhao Hua
Published: January 2024

Single-atom alloys (SAAs) are a different type of alloy where a guest metal, usually a noble metal (e.g., Pt, Pd, and Ru), is atomically dispersed on a relatively more inert (e.g., Ag and Cu) host metal.
Surface gallium oxide hydroxide species adsorbing carbon dioxide to enhance the photocatalytic activity of silver-loaded calcium titanate for carbon dioxide reduction with water
Authors: Qiu Hongxuan , Yamamoto Akira , Yoshida Hisao
Published: January 2024

GaOOH as a good CO2 adsorber works together with Ag NPs to improve photocatalytic CO2 reduction by a CaTiO3 photocatalyst.
Highly selective hydrogen peroxide electrosynthesis on copper phthalocyanine: interface engineering with an azo-polymer
Authors: Sun Zebang , Lu Xingyu , Wang Xuanzhi , Wang Di , Luan Jian , Liu Yu , Qi Wei
Published: January 2024

The electrode–electrolyte interface was adjusted by azo molecule modification to improve the desorption of HO2−. The H2O2 selectivity and stability of CuPc-TAP-F in a wide potential window is a higher level in the field of H2O2 electrosynthesis.
Synergy of W doping and oxygen vacancy engineering on d-band center modulation for enhanced gas sensing performance
Authors: Shi Yushu , Liu Tongyao , Hu Riming , Xu Huiyan , Yang Chengxiang , Yang Likai , Feng Liang , Jiang Xuchuan
Published: January 2024

W doping and vacancy engineering allowed the control of the d-band center of the material and improved the gas sensing performance.
Band and vacancy engineering in SnTe to improve its thermoelectric performance
Authors: Yang Zan , Smith Evan , Tseng Yu-Chih , Ciesielski Kamil , Novikov Sergei , Kalab Thomas , Huang Yuyang , Toberer Eric , Mozharivskyj Yurij
Published: January 2024

SnTe is a promising thermoelectric material with low cost and high stability.
From biomaterials to biotherapy: cuttlefish ink with protoporphyrin IX nanoconjugates for synergistic sonodynamic-photothermal therapy
Authors: Li Yan , Huang Liu , Li Xun , Geng Peng , Xiang Juanjuan , Wang Wei , Yang Bin , Zheng Yong , Lan Haichuang , Xiao Shuzhang
Published: January 2024

Bio-inspired CIPs are reported as biocompatible and efficient SDT-PTT nanoagents for tumor therapy, which would inspire the development of other novel nanoagents modified from biomaterials and their utilization for biotherapy.
Nanoscale memristor devices: materials, fabrication, and artificial intelligence
Authors: Yu Yongchao , Xiao Ming , Fieser David , Zhou Wei , Hu Anming
Published: January 2024

An overview of fabrication methods, including CMOS, nanojoining, and 3D printing techniques, materials, structures, properties, mechanisms, and applications of memristors, as well as the most recent advancements in molecular memristors, is provided.
Introduction to advances in multicomponent plasmonic hybrid nanoarchitectures for versatile applications
Authors: Jing Hao
Published: January 2024

Dr Hao Jing introduces the Nanoscale Advances themed collection on multicomponent plasmonic hybrid nanoarchitectures for versatile applications.
Application of multibranch linear–linear basis function for multiscale dielectric targets simulation
Authors: Wang Yu , Zou Yu‐jia , Dang Xiaojie , Zhu Ming‐da , Zhao Xun‐wang , Zhang Yu
Published: January 2024

Here, the multibranch linear–linear basis function (MB‐LL) is applied to the Poggio–Miller–Chang–Harrington–Wu–Tsai equation for calculating the scattering problem of multi‐scale dielectric targets. The MB‐LL basis function replaces the positive and negative triangles of the traditional linear–linear basis function (LL) with multiple branches, so it can be used at the junction of the meshes of different size. By using the MB‐LL basis function, we can easily divide the calculation region into several non‐overlapping regions, which is very suitable for the simulation of multiscale targets. At the same time, the MB‐LL basis function inherits the properties of the LL basis function, which is more accurate than the multibranch Rao–Wilton–Glisson (MB‐RWG) basis function. Numerical examples demonstrate the advantages of the proposed method.
Short‐range SAR imaging with a fast adaptive plug‐and‐play ADMM‐based approach
Authors: Pham The Hien , Hong Ic Pyo
Published: January 2024

This study presents a method for short‐range synthetic aperture radar (SAR) imaging employing a fast adaptive plug‐and‐play framework based on the alternating direction method of multipliers (ADMM). The proposed approach capitalizes on the advanced ADMM‐based image‐solving model to enhance the efficiency of SAR image reconstruction. By integrating adaptive parameter tuning with a plug‐and‐play strategy, the algorithm dynamically adjusts regularization parameters, resulting in enhanced convergence and superior image quality. The methodology exploits the inherent flexibility and speed of the ADMM algorithm, offering a computationally efficient solution tailored for short‐range SAR imaging applications. Experimental results demonstrate the effectiveness of the proposed approach in achieving high‐quality SAR reconstructions while accommodating variations in scene complexity and noise levels.
Species Composition and Density in the Mangrove Forest Area of Sriminosari Village, Labuhan Maringgaika District, East Lampung Regency
Authors: Dermawan Oki , Aryani Wiwik Dyah , Mulyasa E. , Yusuf Trisna Kusuma , Yanti Risma
Published: January 2024

Mangroves are mangrove species that can develop and grow in muddy tidal areas so that they can form a vegetation community. Mangroves have a unique adaptability, namely the ability to adapt to oxygen levels (O2) which is low causing the root system in mangroves to look like chicken claws and is included in the buffer type. The presence of mangrove forests has an important role in keeping the monitoring lip area from abrasion by sea waves so that it remains stable. The purpose of this study was to determine the species composition and density in the mangrove forest area of Sriminosari Village, Labuhan Maringgai District, East Lampung Regency. Based on the results of research that has been conducted in the mangrove forest area of Sriminosari Village, it can be concluded that the vegetation found in the mangrove forest area of Sriminosari Village contains 2 mangrove tribes. The relative density value of mangroves in the village of Sriminosari on speciesAvicennia marinawith a percentage of 100%. As for the species apiculata has a percentage of 24.4%. Based on H’total calculation of 1.2, it means that the mangrove forest of Sriminosari Village belongs to the medium category from the calculation of the Shannon-Wiener index
The Effect of Giving Ciplukan Herb (Physalis Angulata L) to the Number of Diabetic Nephropathy Glomerulus of Hyperglycemia Rats
Authors: Sulistyowati Y. , Rahmat A. , Ifadiani Y. , Sari N. , Yulianti D.R. , Y Riwu G.W.
Published: January 2024

Hyperglycemia in diabetes mellitus (DM) can damage and impaired function of various organs. The kidney has a very important position in the process of water metabolism in our body. It is often obvious of changes in metabolic substances when the kidney develops a lesion. The organ marked decrease in nephropathy diabetic glomerulus. Oxidative stress at DM results in an imbalance between free radicals and antioxidants. Ciplukan herb (Physalis angulata L.) was an antioxidant that is known to lower blood sugar levels and maintains the function of kidney. The purpose of this study was to determine the effect of Ciplukan (Physalis angulata L) herb to the number of nephropathy diabetic glomerulus of hyperglycemia rats. This study was a true experimental design with a draft of post test design, using one control group and 3 treatment groups. The three treatment groups were the dose variation of ciplukan herb, for 5 mg/kgBW, 10 mg/kg and 20 mg/kgBB in each group-STZ-induced NIC for 21 days. At the end of the study, renal histological preparation was made with hematoxylin and eosin staining (HE). The data were analyzed using ANOVA analysis. The results showed that ciplukan herb extract significantly effect (ρ=0.038) the number of diabetic nephropathy (DN) glomerulus. This implies that ciplukan herb extract improve diabetic nephropathy.
Transformative Implementation of Android-Based Point of Sale System at Shafira’s Buffet Stall
Authors: Budiarti Rizqi Putri Nourma , Kamila Faiz Iman Rahman
Published: January 2024

Shafira’s Buffet Stall is a small eatery located at 37 Gubeng Kertajaya V Raya Street. They offer a diverse range of delicacies, from fried snacks to vegetable dishes. The typical business process at the stall involves customers either dining in or requesting takeaways. After making their selections, the customers proceed to the cashier to have their orders tallied. Observing this process, the idea of developing an Android-based Point of Sale (POS) system struck the author. This system aims to streamline and record all transactions efficiently. The Point-of-Sale system is designed to facilitate seamless transactions and includes a cashier module to record sales. The decision to develop this POS application was driven by the need for accurate transaction records and seamless management. The Android platform was chosen due to its popularity as the most widely used mobile operating system in Indonesia, boasting an impressive 89% market share as of December 28, 2022. Additionally, in urban areas of East Java, around 68.75% of the population utilize mobile phones, further justifying the choice of the Android platform for the system. The application offers features such as login credentials for two types of accounts: cashier and administrator (faktur). It allows access to functions like managing transactions, adding new menu items, listing available menu items, and generating daily and weekly transaction reports. The implementation and testing of the application were performed through two iterations. After incorporating the necessary improvements based on black box testing, all features functioned smoothly. Usability testing resulted in a remarkable 5.73% increase in overall user satisfaction. This Android-based POS application proves to be an invaluable tool for the business owner, providing insights into popular menu items and their daily and weekly sales. It assists in making informed decisions regarding menu restocking and daily sales strategies.
Analyzing Twitter Users’ Sentiments on the Surge of Fuel Oil Prices in Indonesia using the K-Nearest Neighbor Algorithm
Authors: Budianti Rizqi Putri Nourma , Marvyna Hanifah Citra , Sukaridhoto Sritrusta
Published: January 2024

Sentiment analysis offers an effective solution for automating the classification of text data based on polarity, facilitating the assessment of public opinion. Among various social media platforms, Twitter stands out as a significant source of concise textual data reflecting users’ viewpoints on diverse topics. Notably, the recent surge in the price of fuel oil (BBM) in Indonesia has sparked considerable discussion and expression on Twitter. In this study, our objective was to perform a comprehensive sentiment analysis of Twitter users’ reactions to the rising fuel prices in Indonesia by employing the K-Nearest Neighbor (K-NN) algorithm. The research followed a structured approach encompassing data collection, text preprocessing, data labeling, feature extraction, data splitting, classification, and algorithm performance evaluation. The results revealed a dominance of negative sentiments among the 5,000 collected tweet data. The sentiments were categorized as 54.6% negative, 31.8% positive, and 13.6% neutral. This indicates a prevailing level of dissatisfaction and concern expressed by Twitter users regarding the fuel price increase. The K-NN algorithm’s classification performance was most promising when evaluated in an 80:20 data ratio experiment, yielding an accuracy rate of 65%, precision of 74%, recall of 45%, and an error rate of 35%. These findings suggest that the K-NN algorithm is valuable for effectively gauging public sentiment towards the escalating fuel prices in Indonesia. This research highlights the potential of sentiment analysis and the K-NN algorithm in assessing public reactions to significant events, providing valuable insights for policymakers and stakeholders in the energy sector.
CG (Cloud-To-Ground) Lightning Strike Distribution Patterns In Bandar Lampung and South Lampung in 2022
Authors: Anggraini Welly , Dwi Gustia Rasyidi Ratu , Dian Yusandika Ajo , Sodikin  , Rawuni Lisma , Amalia Putri
Published: January 2024

This study aims to identify patterns in the distribution of CG-type lightning strikes in the regions of Bandar Lampung and South Lampung during the year 2022. This study employs quantitative descriptive research methods. The data for this study was collected from the BMKG office of North Lampung Class III Geophysical Station, located in Lampung Province. The data includes latitude, longitude, and CG-type lightning data for 2022. The sensor was positioned at coordinates 4.83° S latitude and 104.87° E longitude, with an elevation of 60 meters. It utilized the Boltek Lightning Detection System for lightning detection. The analysis indicated that the patterns of CG-type lightning strikes in Lampung Province in 2022 varied every month. This variation can be attributed to the specific topographic conditions of different areas. The Bandar Lampung and South Lampung areas experienced a significant number of lightning strikes in the year 2022. In Bandar Lampung, there were 28,502 lightning strikes, including CG+ and CG- lightning. Meanwhile, the South Lampung area recorded more lightning strikes, totaling 191,353 occurrences. The high frequency of lightning strikes in the South Lampung region can be attributed to its topography, close to Panjang and Bakauheni Harbors. These areas have many coastal regions that contribute to cloud formation, thereby increasing the likelihood of lightning. Cumulonimbus clouds are formed through the evaporation of water from sources, such as the sea, lakes, or rivers, in line with the established theory of cloud formation. Additional research is required to analyze weather data about parameters that specifically impact the frequency of lightning strikes in different regions.
Antibacterial Analysis of Talinum triangulare Against Staphylococcus aureus and Escherichia coli
Authors: Kamelia Marlina , Wahyuningsih Nuriyah , Supriyadi  , Zein Suharno
Published: January 2024

This study aims to determine whether Talinum triangulare can inhibit the growth of Staphylococcus aureus and Escherichia coli. The T. triangulare used in this research were the leaves, stems and roots. Simplicia leaves, stems and roots of T. triangulare were extracted by maceration using 96% ethanol solvent, then filtered and thickened using a rotary evaporator. Testing of T. triangulare against S. aureus and E. coli using the agar well diffusion method. The test solutions used were concentrations of 20%, 40%, 60%, 80%, 100% as well as positive and negative controls as comparisons. The positive control used amoxicillin while the negative used sterile distilled water. The results of the antibacterial activity test were shown by the formation of a growth inhibition zone (ZHP) for S. aureus and E. coli. Statistical tests using One way ANOVA followed by Post Hoc tests in the form of LSD. Research data shows that leaf extract is the most effective in inhibiting the growth of S. aureus and E. coli compared to roots and stems. The most effective concentration in inhibiting the growth of S. aureus and E. coli bacteria is 100%. The increase in concentration is directly proportional to the extent of the clear zone formed around the well. T. triangulare leaf, stem and root extracts were more effective in inhibiting S. aureus than E. coli.
Climate Change Education in Sustainable Physics Learning: Systematic Literature Review
Authors: Lestari Nurita Apridiana , Susanti Fajaria Meli , Deta Utama Alan , Hariyono Eko , Madlazim
Published: January 2024

Climate change is a problem experienced by the global community that negatively impacts human survival. The impact of climate change requires adaptation and mitigation efforts through education to maintain the survival of the earth from climate change. This study aims to describe the application of climate change learning in sustainable physics education. This research is a type of study literature review (SLR) research using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method. The database used is Scopus, and it obtained 90 related literature. Based on the results of a literature review, learning climate change has a positive impact on students, namely providing an overview of the phenomenon of climate change when combined with physics experiment-based learning, and can increase creativity and care for the environment when combined with project-based learning. Environmental interaction in learning supports physics learning because it relates to physical material objects, namely the phenomena of life around students. The result shows that climate change education can support sustainable physics learning.
Project-based Model in Physics Learning: The Influence on Computational Thinking Skills on the Eleventh-Grade Natural Science Major Students
Authors: Subekti Diah Aghni , Latifah Sri , Anugrah Adyt , Fitri Megawati Ridwan , Makbuloh Deden , Subandi  , Islam Monirul
Published: January 2024

The low level of computational thinking skills of students is a problem of 21st-century skills. One of the efforts to support 21st-century education is by applying a Project-based learning model. This study aims to determine the effect of the application of a project-based learning model on the computational thinking skills of students in class XI IPA. The research was conducted at MA Al-Hikmah Bandar Lampung. The population in this study was XI IPA class with samples of XI IPA 1 (experimental class) and XI IPA (control class). Using saturated sampling technique with Quasi-Experimental Research design. The results of this study indicate that the t-test value with a significant level of 5% there is an effect of the project-based learning model on the computational thinking skills of students in class XI IPA with a sig value <0.05 which is equal to 0.000 then H0 is rejected and H1 is accepted. Therefore, computational thinking skills can be used to solve problems in physics learning by applying indicators of decomposition, abstraction, algorithms, and generalization of patterns.
The Project Method and Its Effect on the Ability to Recognize Geometric Shapes in Early Childhood in the Era ofMerdeka Belajar
Authors: Ayu Sovia Mas , Dewi Asmara , Alvianita Indah
Published: January 2024

One of the learning methods promoted in the independent curriculum is the project method. This research explores the impact of the project method in the context of early childhood education related to geometry shape recognition. This study aims to investigate how the use of the project method in learning can affect young children’s ability to recognize and understand geometric shapes. The project method was implemented in a learning environment that provided children with practical and interactive experiences, while measurements of their ability to identify and utilize geometric concepts were conducted before and after the application of this method. This study used an observational approach to the control group and the group involved in project-based learning. The results showed that the children involved in the project method showed a significant improvement in their ability to recognize geometric shapes compared to the control group. This indicates that the project method has a positive influence in facilitating the understanding of geometry concepts at an early developmental stage. This finding has important implications for designing early childhood education curricula that focus on developing geometry skills. The implementation of the project method can be an effective alternative in improving children’s ability to recognize and understand geometric shapes, strengthening an important foundation for their future mathematical development.
PBL-STEM Integrated Interactive E-Module in Improving Creative Thinking Skills and Collaboration Skills: Needs Analysis in Biology Education
Authors: Puspita Laila , Abdurrahman  , Jalmo Tri , Maulina Dina , Komarudin  , Fitria Luthfi Nurrana , Rakhmawati Ismi
Published: January 2024

STEM is a learning approach that integrates science and math learning through scientific processes, technology and engineering, and mathematical analysis to develop 21st-century skills. One of them is creative thinking skills and collaboration skills, namely thinking skills that involve cognitive, analytical, rational, and logical processes and invite Biology Teacher Candidates to do reflective thinking about problems. The application of STEM integrated with problem-based learning (PBL) and packaged in E-modules will produce creative individuals through creative thinking skills and collaboration. This research design uses qualitative description. This study aims to determine the need of teaching materials in the form of PBL-STEM-based E-Modules in improving the creative thinking skills and collaboration skills of Biology Teacher Candidates. The subjects of this study were 172 Biology Teacher Candidates and 39 Biology education lecturers. Data collection was done by distributing questionnaires. The results of data analysis showed that there were only 28.2% of lecturers and 23.5% of Biology Teacher Candidates using e-modules in biology learning. 100% of lecturers and 87.5% of Biology Teacher Candidates stated the need for PBL-STEM integrated interactive e-modules in Biology learning, and there were 94.9% of lecturers and 98.8% of Biology Teacher Candidates considered it necessary to master creative thinking skills and collaboration skills.
Environmental Sustainability in Islamic Campus Life: Multi-major Students’ Perspective
Authors: Hadiati Eti , Setiyo  , Dwiyanto Agus
Published: January 2024

This study investigates the intricate relationship between environmental sustainability and the daily lives of multi-major students in Islamic campuses. Grounded in the imperative to integrate sustainability into educational institutions, particularly Islamic universities, the research explores students’ perspectives on creating a ’Green Campus.’ Employing a descriptive research approach with a socio-cultural phenomenological framework, the study utilizes purposive sampling and qualitative interviews with 12 students from four majors. The findings illuminate a commitment to sustainability deeply embedded in the academic community, contributing to the campus’s recognition as one of the top 10 green campuses. While acknowledging positive aspects, the study also delves into challenges, such as inconsistent cleanliness and toilet-related issues, emphasizing the need for continuous improvement. The research aims to contribute to the discourse on creating eco-conscious educational environments by understanding the intersection of Islamic values and sustainable practices. In conclusion, the study sheds light on the commitment to sustainability within the academic community, portraying Islamic campuses as hubs for environmentally responsible future leaders.
Implementation of Group Guidance Services in Developing Pro-Environment Attitudes among College Students
Authors: Murtadho Ali , Monica Mega Aria , Chairunnisya
Published: January 2024

Environmental sustainability is an effort to defend and defend the environment so that it can function to maintain the survival of all living creatures, including humans, on this earth. Various aspects of life can be influenced by environmental changes. There is no public awareness and desire to change the environment, which results in a decline in its function. The chair of Islam and the Environment at UIN Raden Intan can help build characters who care about the environment.
The Influence of the RADEC Model with ESD (Education for Sustainable Development) Insight on Earth Sun Rotation and Revolution Material to Increase Student Metacognitive Awareness
Authors: Fiteriani Ida , Sopandi Wahyu , Wahyudin  , Baharudin  , Firmansyah Deri
Published: January 2024

The aim of this research is to describe and analyze the RADEC model based on ESD (Education for Sustainable Development) on the Concept of Rotation and Revolution of the Earth and Sun on students’ metacognitive awareness. The research method uses quantitative - quasi experiment. The design is in the form of a Pretest-Posttest Control Group Design. The population is all students of the PGMI, FTK, UIN Raden Intan Lampung Study Program Class 2021/2022, totaling 317 people (Class A-J). The research sample was selected using simple random sampling technique. The research instrument used a metacognitive awareness questionnaire which was measured using the MAI. Data processing analysis was carried out using descriptive statistics and inference statistics by hypothesis testing using the t-test with a significance level of 5% (α = 0.05). Calculations assisted by the SPSS program. version 25. The results of the research are: (1) metacognitive awareness of students who study with the RADEC model with ESD insight in the good category, the mean value is 39.87, the median is 39, the mode is 37, and the variability is 3.8, and the Skewness is -0.112 or slope curve towards the left. (2) The criteria for increasing metacognitive awareness of students who receive lectures using the RADEC model with an ESD perspective is 0.4, so they are in the medium category (referring to Hake’s criteria), (3) Differences in the influence of implementation the ESD-oriented RADEC model on students’ metacognitive ability acquisition, the 2-tailed sig value is 0.00 and this value is smaller than 0.05 (α), so the conclusion is that there is a difference in achievement. (4) The difference in the effect of implementing the ESD-oriented RADEC model on increasing students’ metacognitive awareness, it turns out that the 2-tailed sig value is 0.195 and this value is greater than 0.05 (α), so the conclusion is that there is no difference in improvement, and (5) Application of the model RADEC with ESD insight has a significant effect on students’ acquisition of metacognitive awareness.