bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of volatile compounds by GCMS reveals their rice cultivars
Authors: Hu Shengying , Ren Hongbo , Song Yong , Liu Feng , Qian Lili , Zuo Feng , Meng Li
Published: May 2023

Due to the similarity in the grain and difference in the market value among many rice varieties, deliberate mislabeling and adulteration has become a serious problem. To check the authenticity, we aimed to discriminate rice varieties based on their volatile organic compounds (VOCs) composition by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography mass spectrometry (GC–MS). The VOC profiles of Wuyoudao 4 from nine sites in Wuchang were compared to 11 rice cultivar from other regions. Multivariate analysis and unsupervised clustering showed an unambiguous distinction between Wuchang rice and non-Wuchang rice. Partial least squares discriminant analysis (PLS-DA) demonstrated a goodness of fit of 0.90 and a goodness of prediction of 0.85. The discriminating ability of volatile compounds is also supported by Random forest analysis. Our data revealed eight biomarkers including 2-acetyl-1-pyrroline (2-AP) that can be used for variation identification. Taken together, the current method can readily distinguish Wuchang rice from other varieties which it holds great potential in checking the authenticity of rice.
Risk of secondary stroke subsequent to restarting aspirin in chronic stroke patients suffering from traumatic brain injury in Taiwan
Authors: Chou Chu-Lin , Chung Chi-Hsiang , Hsu Yung-Ho , Wu Chia-Chao , Sun Chien-An , Chien Wu-Chien , Tang Shih-En , Fann Li-Yun
Published: May 2023

Traumatic brain injury (TBI) is a silent epidemic that has been easily ignored. The safety and efficacy of restarting antiplatelet therapy after encountering traumatic brain injury (TBI) events remain a challenge. We explored the outcomes of restarting aspirin use on secondary stroke and mortality in patients with chronic stroke 4 weeks after suffering from a TBI episode in Taiwan. This study analyzed data from the National Health Insurance Research Database from January 2000 to December 2015. Overall, 136,211 individuals diagnosed with chronic stroke who suffered from acute TBI and received inpatient service were enrolled. The study outcomes were a competing risk of secondary stroke (ischemic and hemorrhagic) hospitalization and all-cause mortality. We identified a case group of 15,035 patients with chronic stroke (mean [SD] age of 53.25 [19.74] years; 55.63% male) who restarted aspirin use 4 weeks after suffering from TBI and a control group of 60,140 patients with chronic stroke (mean [SD] age of 53.12 [19.22] years; 55.63% male) who discontinued aspirin use after suffering from TBI. The risk of hospitalization of secondary ischemic stroke [adjusted hazard ratio (aHR) 0.694; 95% confidence interval (CI) 0.621–0.756; P < 0.001] and hemorrhagic stroke (aHR 0.642; 95% CI 0.549–0.723; P < 0.001) and all-cause mortality (aHR 0.840; 95% CI 0.720–0.946; P < 0.001) significantly decreased in patients with chronic stroke restarting aspirin use 1 month after suffering from TBI events (including intracranial hemorrhage) in comparison with the control subjects, regardless of those with or without diabetes mellitus, chronic kidney disease, myocardial infarction, atrial fibrillation, clopidogrel use, and dipyridamole use. Restarting aspirin use could lower the risks of secondary stroke (ischemic and hemorrhagic) hospitalization and all-cause mortality in patients with chronic stroke 1 month after suffering from TBI episodes.
Bifactor analysis of the Hospital Anxiety and Depression Scale (HADS) in individuals with traumatic brain injury
Authors: Carmichael Jai , Spitz Gershon , Gould Kate Rachel , Johnston Lisa , Samiotis Alexia , Ponsford Jennie
Published: May 2023

Anxiety and depression symptoms are commonly experienced after traumatic brain injury (TBI). However, studies validating measures of anxiety and depression for this population are scarce. Using novel indices derived from symmetrical bifactor modeling, we evaluated whether the Hospital Anxiety and Depression Scale (HADS) reliably differentiated anxiety and depression in 874 adults with moderate-severe TBI. The results showed that there was a dominant general distress factor accounting for 84% of the systematic variance in HADS total scores. The specific anxiety and depression factors accounted for little residual variance in the respective subscale scores (12% and 20%, respectively), and overall, minimal bias was found in using the HADS as a unidimensional measure. Further, in a subsample of 184 participants, the HADS subscales did not clearly discriminate between formal anxiety and depressive disorders diagnosed via clinical interview. Results were consistent when accounting for degree of disability, non-English speaking background, and time post-injury. In conclusion, variance in HADS scores after TBI predominately reflects a single underlying latent variable. Clinicians and researchers should exercise caution in interpreting the individual HADS subscales and instead consider using the total score as a more valid, transdiagnostic measure of general distress in individuals with TBI.
A critical assessment of a protected area conflict analysis based on secondary data in the age of datafication
Authors: Rechciński Marcin , Tusznio Joanna , Akhshik Arash , Grodzińska-Jurczak Małgorzata
Published: May 2023

Recently, a global trend towards a broader use of secondary data in social sciences has been reinforced by the COVID-19 pandemic. This evoked doubts about the validity of the results unless restrictive assessment procedures are implemented. To address this need in the field of protected area (PA) conflict analysis, we propose a three-fold approach (theory-, method-, and cross-scale simulation-driven) to assess the usefulness of the utilized state register dataset and the indicator analysis methodology for the multi-level recognition of PA conflict determinants. With the ultimate aim to inform case study selection, we processed 187 relevant indicators from the official Statistics Poland register for a Lesser Poland region. We distinguished five types of PA conflict determinants in Lesser Poland (‘urbanity’, ‘agriculture’, ‘tourism’, ‘small-scale entrepreneurship’, and ‘sprawl’) and respective groups of 15 clusters comprising local-level units. For one cluster, we juxtaposed the obtained results with secondary data from another source (Internet content) and for a specific PA (Tatra National Park). Although the reported conflict issues corresponded to the indicator-derived descriptors of the cluster, in the theory-driven phase of the assessment, the state register failed to address the key prerequisites of PA conflicts. We have demonstrated that, in crisis conditions such as COVID-19, the proposed method can serve as a proxy for a multi-level recognition of PA conflict potentials, provided that it synthesises the results of different methodological approaches, followed by in-person interviews in the selected case studies.
Association of endometriosis with genital human papillomavirus infection in US women: a national population-based study
Authors: Hong Yun Soo , Park Jihwan , Kim Hoon
Published: May 2023

The prevalence of genital human papillomavirus (HPV) in women with endometriosis has never been reported in a national representative survey. We aimed to investigate the association of endometriosis with the prevalence of HPV. We analyzed the data on 1768 women (representing 43,824,157 women) in the United States aged 20–54 years from the National Health and Nutrition Examination Survey in the prevaccination era (2003–2006). The diagnosis of endometriosis was based on a self-report. The prevalence of any HPV in women with endometriosis did not differ from that in women without endometriosis after controlling for potential confounders such as age, ethnicity, family income, marital status, and the number of deliveries (adjusted prevalence ratio (aPR) 0.84, 95% confidence interval (CI) 0.61–1.15). No significant association was found between the prevalence of high-risk HPV and the diagnosis of endometriosis (aPR 0.71, 95% CI 0.44–1.14). If the participants were not covered by health insurance, the prevalence of any HPV infection in women with endometriosis was higher than in those without endometriosis (aPR 1.44, 95% CI 0.94–2.20). In contrast, in a subgroup who had health insurance, a lower prevalence of any HPV infection was observed in women with endometriosis (aPR 0.71, 95% CI 0.50–1.03), and P for interaction was statistically significant (P = 0.01). There was no association between endometriosis and HPV infection in this study of HPV vaccine-naïve women of reproductive age. The association was not different by the type of HPV. However, access to healthcare may modify the association between endometriosis and HPV infection.
Sophorolipid inhibits histamine-induced itch by decreasing PLC/IP3R signaling pathway activation and modulating TRPV1 activity
Authors: Xu Rui-Qi , Ma Ling , Chen Timson , Zhang Wei-Xiong , Chang Kuan , Wang Jing
Published: May 2023

Biosurfactants are attracting much interest due to their potential application as therapeutic agents in the medical and cosmetic field. Previous studies have demonstrated that biosurfactant such as sophorolipid (SL) exhibits immunomodulatory effects. In this article, we found the potential of sophorolipid for inhibiting histamine-induced itch and preliminarily explored its molecular basis. First, behavioral tests indicated that SL can remit the histamine-induced scratching behaviors of mice. Second, SL can suppress the the calcium influx induced by histamine, HTMT and VUF8430 in HaCaT cells. RT-PCR analysis showed that the histamine-induced upregulation of mRNA levels of phospholipase Cγ1, 1,4,5-trisphosphate receptor (IP3R), and protein kinase Cα can be inhibted by SL, suggesting that SL may impede the PLC/IP3R signaling pathway activated by histamine. In further tests, the capsaicin-induced calcium influx can also be inhibited by SL. The immunofluorescence and molecular docking analysis indicated that SL acts as an inhibitor of transient receptor potential vanilloid-1 (TRPV1) activation to decrease calcium influx against stimuli. In summary, these results revealed that SL may inhibit histamine-induced itch by decreasing PLC/IP3R signaling pathway activation and modulating TRPV1 activity. This paper indicates that SL can be a useful treatment for histamine-dependent itch.
Real time object detection using LiDAR and camera fusion for autonomous driving
Authors: Liu Haibin , Wu Chao , Wang Huanjie
Published: May 2023

Autonomous driving has been widely applied in commercial and industrial applications, along with the upgrade of environmental awareness systems. Tasks such as path planning, trajectory tracking, and obstacle avoidance are strongly dependent on the ability to perform real-time object detection and position regression. Among the most commonly used sensors, camera provides dense semantic information but lacks accurate distance information to the target, while LiDAR provides accurate depth information but with sparse resolution. In this paper, a LiDAR-camera-based fusion algorithm is proposed to improve the above-mentioned trade-off problems by constructing a Siamese network for object detection. Raw point clouds are converted to camera planes to obtain a 2D depth image. By designing a cross feature fusion block to connect the depth and RGB processing branches, the feature-layer fusion strategy is applied to integrate multi-modality data. The proposed fusion algorithm is evaluated on the KITTI dataset. Experimental results demonstrate that our algorithm has superior performance and real-time efficiency. Remarkably, it outperforms other state-of-the-art algorithms at the most important moderate level and achieves excellent performance at the easy and hard levels.
Research on tire crack detection using image deep learning method
Authors: Lin Shih-Lin
Published: May 2023

Driving can understand the importance of tire tread depth and air pressure, but most people are unaware of the safety risks of tire oxidation. Drivers must maintain vehicle tire quality to ensure performance, efficiency, and safety. In this study, a deep learning tire defect detection method was designed. This paper improves the traditional ShuffleNet and proposes an improved ShuffleNet method for tire image detection. The research results are compared with the five methods of GoogLeNet, traditional ShuffleNet, VGGNet, ResNet and improved ShuffleNet through tire database verification. The experiment found that the detection rate of tire debris defects was 94.7%. Tire defects can be effectively detected, which proves the robustness and effectiveness of the improved ShuffleNet, enabling drivers and tire manufacturers to save labor costs and greatly reduce tire defect detection time.
The impact of birth weight, birth order, birth asphyxia, and colostrum intake per se on growth and immunity of the suckling piglets
Authors: Vodolazska D. , Feyera T. , Lauridsen C.
Published: May 2023

Colostrum is the only source of passive immunity and the major source of nutrients and is crucial for thermoregulation of newborn piglets in their early life. However, the amount of colostrum obtained by each piglet [colostrum intake (CI)] differs considerably in large litters as born by contemporary hyperprolific sow lines. This experiment aimed to investigate the impact of the following individual characteristics of piglets; birth weight, birth order and neonatal asphyxia at birth on CI, and further to determine the relationship between the CI and the passive immunity transfer, and the growth performance of piglets prior to weaning. Twenty-four Danbred sows of the second-parity and their progeny (n = 460) were used. As main inputs in the prediction model to assess individual piglet CI were piglet birth weight, their weight gain, and the duration of colostrum suckling of the piglets. The asphyxia (state of oxygen deprivation) was assessed by measuring blood lactate concentration immediately after birth, and piglets sampled at d 3 of age for determination of blood plasma concentrations of immunoglobulins (Ig) G, A, and M. Piglets’ CI was negatively associated with asphyxia (P = 0.003), birth order (P = 0.005) and low birth weight have compromised the individual CI (P < 0.001). Average daily gain during the suckling period was greater among piglets with high CI (P = 0.001) and birth weight (P < 0.001). Body weight at weaning (d 24 of age) was positively associated with CI (P = 0.0004) and birth weight (P < 0.001). The probability of weaning was positively associated with CI and birth weight (P < 0.001) of the piglets. Concentrations of IgG (P = 0.02), IgA (P = 0.0007), and IgM (P = 0.04) in piglets’ plasma at d 3 of age were positively associated with CI, and were negatively associated with birth order (P < 0.001). The present study demonstrated that piglets’ individual characteristics at birth (birth weight, birth order, state of oxygen deprivation) have considerable effects on their CI. The knowledge gained from the results of this study gives a scientific base for development and implementation of more effective techniques in practice aimed to improve the piglets’ robustness during the suckling period.
Ultrafast 2D NMR
Authors: Gouilleux B.
Published: May 2023

While most fast 2D NMR strategies rely on short recycling delay or on the sparse sampling of the indirect dimension, ultrafast 2D NMR represents a change of paradigm by carrying out a spatial encoding of the resonance frequencies whereby spins located at different positions undergo distinct evolution periods within the same transient. Once the subsequent encoded signals are read out through gradient-based methods inspired from magnetic resonance imaging techniques, a whole 2D NMR spectrum is obtained in a single scan. This sub-second approach is in principle compatible with any homo- or heteronuclear experiment, making it a versatile tool whose analytical potential has been highlighted in various fields of application. This chapter endeavours to review the main concepts and features of ultrafast 2D NMR. This encompasses spatial encoding methods, detection techniques to read out encoded signals, data processing as well as combined methods. Characteristics and limitations are also discussed along with the improvements that have been developed to push forward the analytical performance of this ultrafast approach.
Fast 2D NMR to Investigate Dynamic Events in Biomolecules
Authors: Bruno F. , Luchinat E. , Kazimierczuk K. , Ravera E.
Published: May 2023

Interactions among biological macromolecules are often transient in nature, and NMR offers a seat in the front row for observing such events under physiological conditions, thanks to its intrinsic atomic resolution and non-destructive nature. In this chapter, we describe the multidimensional methods that can be applied to monitor biologically relevant events in real time. This includes the combination of rapid pulsing methods and the development of bioreactors for monitoring interactions and reactions in vivo, the use of non-uniform sampling for methods to monitor variations in the state of a protein, and an outlook on the use of paramagnetism to increase the time resolution of NMR acquisition.
Fast 2D NMR for Metabolomics
Authors: Praud Clément , Letertre Marine P. M. , Dey Arnab , Dumez Jean-Nicolas , Giraudeau Patrick
Published: May 2023

Metabolomics provides crucial information on the metabolism of living organisms, by detecting and quantifying metabolites in biofluids, biopsies or extracts. Metabolomics studies involve analysing large collections of very complex samples by NMR or mass spectrometry methods. The resulting 1D spectra are characterized by the ubiquitous overlap between metabolite signals, justifying the need for the acquisition of 2D spectra on such samples. However, the long acquisition time of conventional 2D NMR makes it incompatible with the high-throughput nature of metabolomics, which explains why the acquisition of 2D spectra is generally limited to a subset of samples. In this chapter, we will describe how fast 2D NMR methods can lead to experimental times that become compatible with the systematic incorporation of 2D NMR in metabolomics workflows. The most frequently used 2D NMR methods include non-uniform sampling and ultrafast 2D NMR, but fast-pulsing methods and Hadamard spectroscopy have also shown some potential. In this chapter, we highlight how fast 2D NMR can facilitate the identification of biomarkers in untargeted metabolomics studies. We also discuss the use of fast quantitative 2D NMR strategies to provide accurate quantification of metabolites in targeted metabolomics approaches. Finally, we describe the promising combination of fast 2D NMR methods with hyperpolarization.
Fast 2D NMR in Inhomogeneous Magnetic Fields
Authors: Chen Zhong , Huang Yuqing
Published: May 2023

Benefitting from valuable molecular-level information on chemical shifts and J coupling multiplet patterns, NMR spectroscopy constitutes a powerful analytical tool for studying organic chemistry, protein and nucleic acid structures, dynamic effects, etc. Ultrafast NMR methods based on spatial encoding and decoding techniques enable recording of 2D NMR spectra within a single scan, thus resolving the limitation of lengthy acquisition in conventional 2D NMR experiments. Besides acquisition efficiency, magnetic field inhomogeneity poses another challenge in practical NMR applications, particularly in ultrafast 2D NMR experiments, and this challenge is difficult to resolve by conventional field shimming techniques. Accordingly, in this chapter, we focus on the review of fast 2D NMR methods that can be applied under inhomogeneous magnetic field conditions. Three main types of spatially-encoded fast 2D NMR methods suitable for high-resolution measurements in inhomogeneous magnetic fields, namely, spatially-encoded 2D NMR spectroscopy by tracking chemical shift differences, spatially-encoded 2D NMR spectroscopy combined with intermolecular multiple-quantum coherences, and spatially-encoded 2D NMR spectroscopy based on partial voxel homogeneity, are described.
Dynamic-stiffening collagen-coated substrate enhances osteogenic differentiation of mesenchymal stem cells through integrin α2β1
Authors: Chen Zhenyin , Zou Yang , Lv Yonggang
Published: May 2023

Dynamic matrix stiffening can activate the integrin α2β1-mediated phosphorylation of FAK and cytoskeleton remodeling, which promotes osteogenic differentiation of MSCs.
Thermodynamics of the physisorption of capping agents on silver nanoparticles
Authors: Zúñiga-Bustos Matías , Comer Jeffrey , Poblete Horacio
Published: May 2023

Molecular dynamics simulations show that thiol-containing capping agents for silver nanoparticles, such as mercaptohexanol and lipoic acid, spontaneously assemble into dense aggregates at the silver–water interface.
Energetics of cytoskeletal gel contraction
Authors: Ferraresso Matteo , Kong Albert , Hasan Mehadi , Agostinelli Daniele , Elfring Gwynn J. , Bacca Mattia
Published: May 2023

We develop a model to describe the mechanics of cytoskeletal gel contraction and compare contractile energetics to in vitro experimental studies.
Ultrasensitive detection of CA125 based on a triple signal amplification strategy with a huge number of loaded probes via exonuclease cyclic cleavage, rolling cyclic amplification and strand self-growth
Authors: He Li , Chen Ciping , Liu Yongge , Hai Hong , Li Jianping
Published: May 2023

A strategy of triple signal amplification was proposed for CA125 detection using an exonuclease cyclic cleavage, combined with rolling ring amplification, generating multi-branched dendritic dsDNA to load a large number of probes via strand self-growth.
Electrogenerated chemiluminescence at boron-doped diamond electrodes
Authors: Fiorani Andrea , Valenti Giovanni , Paolucci Francesco , Einaga Yasuaki
Published: May 2023

Electrogenerated chemiluminescence at boron-doped diamond electrodes is reviewed for systems involving either co-reactants or the in situ generation of co-reactants, and tris(bipyridine)ruthenium(ii) or luminol, comprising immunoassay applications.
The emission efficiency of cationic solid state luminophores is directly proportional to the intermolecular charge transfer intensity
Authors: Leduskrasts Kaspars , Kinens Artis , Suna Edgars
Published: May 2023

The quantitative relationship between emission-enhancing π+–π+interactions and solid-state photoluminescence quantum yields (Φ) is demonstrated.
Electronic-correlation induced sign-reversible Berry phase and quantum anomalous valley Hall effects in Janus monolayer OsClBr
Authors: Jia Kang , Dong Xiao-Jing , Li Sheng-Shi , Ji Wei-Xiao , Zhang Chang-Wen
Published: May 2023

With intrinsic out-of-plane (OOP) magnetic anisotropy, the Janus monolayer OsClBr exhibits a sequence of states, namely, the ferrovalley (FV) to half-valley-metal (HVM) to quantum anomalous valley Hall effect (QAVHE) to HVM to FV states with increasing U values.
Pentacoordinated Al3+stabilized polyoxometalates for the efficient catalytic valorization of biomass-derived feedstocks
Authors: Wang Lihua , Ma Shuangxiu , Chen Chunhong , Lu Bing , Wang Zhe , Wang Yong , Mao Shanjun
Published: May 2023

A novel route is developed to achieve thein situanchoring of APMo on alumina with coordinatively unsaturated Al3+sites. APMo–alumina interaction promotes the dispersion and stability of APMo and contributes to superior catalytic performances.
Hydrothermal treatment: an effective method to improve the catalytic activity of the Pt/ZSM-5 catalyst for complete benzene oxidation
Authors: Wang Yunchong , Fu Kaixuan , Huang Haolong , Shan Cangpeng , Zheng Yanfei , Han Rui , Liu Qingling
Published: May 2023

Hydrothermal treatment surprisingly enhanced the catalytic activity of Pt/ZSM-5 in benzene oxidation and the treated catalyst exhibited outstanding stability.
Active thermally tunable and highly sensitive terahertz smart windows based on the combination of a metamaterial and phase change material
Authors: Zheng Zhipeng , Zhao Wenchao , Yi Zao , Bian Liang , Yang Hua , Cheng Shubo , Li Gongfa , Zeng Liangcai , Li Hailiang , Jiang Peipei
Published: May 2023

A terahertz thermally tuned window based on the combination of metamaterial with the phase change material VO2 is proposed. It can be used as a smart window, regulating absorption and transmission of external terahertz waves in response to temperature.
An anionic porphyrinylphosphonate-based hydrogen-bonded organic framework: optimization of proton conductivity through the exchange of counterions
Authors: Zhigileva Ekaterina A. , Enakieva Yulia Yu. , Sinelshchikova Anna A. , Chernyshev Vladimir V. , Senchikhin Ivan N. , Kovalenko Konstantin A. , Stenina Irina A. , Yaroslavtsev Andrey B. , Gorbunova Yulia G. , Tsivadze Aslan Yu.
Published: May 2023

Novel anionic porphyrinylphosphonate-based HOF and its functionalization through the cations exchange resulting in the growth of proton conductivity (up to 10−3S cm−1) are described.
Strategies for reducing the overpotential of one-dimensional Si nanostructured photoelectrodes for solar hydrogen production
Authors: She Guangwei , Ma Jingxuan , Hao Xue , Ru Changzhou , Zhang Haoyue , Mu Lixuan , Qi Xiaopeng , Shi Wensheng
Published: May 2023

Strategies to reduce the overpotential of 1D silicon nanostructured photoelectrodes for solar hydrogen generation: co-catalysts to improve the reaction kinetics, hetero- and homo-junctions to improve carrier collection and enhance photovoltage.
Flexible optical limiters based on Cu3VSe4 nanocrystals
Authors: Zhai Xin-Ping , Ma Bo , Xiao Ming-Jun , Shang Wen , Zeng Zhi-Cong , Wang Qiang , Zhang Hao-Li
Published: May 2023

A proof-of-concept flexible goggle prototype based on Cu3VSe4 nanocrystals demonstrated huge potential as an optical limiter.
Electrochemically enabled oxidative aromatization of pyrazolines
Authors: Hofmann Silja , Linden Martin , Neuner Julian , Weber Felix N. , Waldvogel Siegfried R.
Published: May 2023

Electrochemical oxidation of pyrazolines mediated by ubiquitous sodium chloride readily enables access to a broad variety of pyrazoles in a sustainable manner.
Modulating the interaction of graphenic substrates with human interleukin-6 and its monoclonal antibody: a study by Raman images
Authors: de la O-Cuevas Emmanuel , Islas Selene R. , Gallegos-Flores Perla , E. L. Esparza-Ibarra , Tototzintle-Huitle Hugo , Saniger José M.
Published: May 2023

Interleukin-6 (IL-6) is a cytokine with wide-ranging biological effects, playing an important role on the immune system and inflammatory responses.
Computer-assisted multistep chemoenzymatic retrosynthesis using a chemical synthesis planner
Authors: Sankaranarayanan Karthik , Jensen Klavs F.
Published: May 2023

Given a target, our approach identifies a reaction network with sequences of chemically viable reaction steps starting from commercial compounds (in green). Then, it identifies steps within the reaction network that are candidates for biocatalysis.
Differential membrane curvature induced by distinct protein conformers
Authors: Malshikare Hrushikesh , Prakash Shikha , Sengupta Durba
Published: May 2023

Molecular-level insights into the coupling between membrane topology, protein shape and lipid clustering in caveolin-mediated membrane curvature.
Curvature preference of cubic CsPbBr3 quantum dots embedded onto phospholipid bilayer membranes
Authors: Chairil Ricki , Malmstadt Noah
Published: May 2023

The membrane curvature preference of lipid bilayer-embedded, cube-shaped CsPbBr3 quantum dots (QDs) is reported here. QD local concentration was highest in membrane regions of low curvature.
Multifunctional small biomolecules as key building blocks in the development of hydrogel-based strain sensors
Authors: Zaidi Syed Farrukh Alam , Saeed Aiman , Heo Jun Hyuk , Lee Jung Heon
Published: May 2023

Multifunctional small biomolecules enhance the multifunctionality and performance of hydrogel-based strain sensors.
Abnormal line loss identification system of low voltage distribution network based on HPLC communication technology
Authors: Tang Chao , Chang Zhengwei , Liang Huihui , Zhang Linghao , Pang Bo
Published: May 2023

Power cable is mainly responsible for the transmission and distribution of electric energy in the power grid. The performance of a power cable greatly affects the reliability and security of the power supply. In order to solve the problem of cable aging caused by long‐term operation and various internal and external factors, this paper proposes an abnormal line loss identification method for a low‐voltage distribution network station area, aiming at focusing on the monitoring of cable aging. The transmission characteristic model based on the transmission line theory and the dielectric constant model of the aging cable insulation layer is established, and the internal relationship between the transmission characteristic and the aging characteristic is analyzed. The characteristic extraction algorithm is used to extract the characteristics of the transmission characteristic curve. Through simulation analysis, for the abnormal line loss fault, the location accuracy of different fault locations is basically at the level of 0.1–0.3%. The simulation of local defects in the cable shows that the change of material dielectric constant is more clear for the characterization of cable aging. The monitoring method in this paper is helpful to provide the relevant basis for the line maintenance plan and the operation strategy of the power grid and is of great significance to ensure the safe and stable operation of the power grid.
Risk Mitigation on Infrastructure Port Project Construction (Case Study: Sanur Port Project, Bali, Indonesia)
Authors: Juliastuti  , Watra I Putu Adi , Wijayanti Yureana
Published: May 2023

Port construction projects have complex work stages and high dependence on internal and external conditions so that the emergence of risks that can cause project delays is elevated. Therefore, it is necessary to apply risk management to identify and overcome the risks that will come. This research uses the Analytic Hierarchy Process (AHP) method to rank risks and determine the most dominant risk parameters for risk analysis. This study shows there are 4 dominant delay risks parameter on the Sanur Port project, with the most dominant risk parameter is the high wave parameter. The effect of high wave risk on the Sanur Port construction project is the delay in project work for 98 days. To reduce the impact of risks that may occur, risk mitigation is carried out on aspects of workers, tools, and methods of implementation.
Identifying Cyanobacteria through Next-Generation Sequencing Technology for Modern Agriculture
Authors: Trinugroho Joko Pebrianto , Asadi Faisal , Pardamean Bens
Published: May 2023

As the global demand for food continue to increase, it is important to find a way to meet the demand without creating any problems to the environment. Cyanobacteria have a prospective to be utilised for the modern agriculture, as they contribute to the improvement of the soil fertility, the crop yield, and they also do not harm the environment. Therefore, it is crucial to understand the species of cyanobacteria or the characteristics that could be used for modern agriculture. The development of Next-Generation Sequencing (NGS) technologies enables us to study the genome of cyanobacteria. Thus, we can study their characteristics by analysing the NGS data. This paper aims to elaborate a pipeline for genomic analysis on cyanobacteria from NGS data. We used a free Linux-based software tool, namely Breseq to process the NGS sequencing raw data. This tool predicts mutations that occur in the genome of the sample, including single- nucleotide variation, insertions, and deletions which could be beneficial for the identification of a new species or a mutant of cyanobacteria which has the right characteristics for modern agriculture utilisation.
MSME Market Segmentation Analysis for Dessert Culinary Products in Malang Raya
Authors: Jati Aisyah Chandra Purnama , Purnama Priska Arindya , Herdina Ajeng Mira
Published: May 2023

The increasingly fierce competition in the culinary industry requires MSMEs to make various innovations. Hence, it is necessary to study market segmentation to map out market conditions and consumer profiles. This study aimed to analyze the MSME market segment for dessert, culinary products in Malang Raya based on geographic, demographic, and psychographic segmentation. The type of research applied is quantitative research. The object of this study is My Dessert Box, which is a new start-up business and has a sales area covering the Malang Raya area. The sample in this study was determined using the purposive sampling technique. The data collection method in this study employed a questionnaire, while the data analysis method employed cross-tabulation and k-mean analysis. The results reveal that in geographic and demographic segmentation cluster 1 in Malang City was dominated by female consumers aged 21-30 years, cluster 2 in Malang Regency had an equal number of female and male consumers with the age range of 21- 30 years, and cluster 3 in Batu City is dominated by female consumers aged 17-20 years. Psychographic segmentation is divided into three clusters as follow, cluster 1 consists of consumers who seek information through testimonies before making a purchase, cluster 2 consists of consumers who consider prices and attractive offers before purchasing dessert products, and cluster 3 consists of consumer who emphasizes product innovation such as variation of flavors. The findings of this study could be used as a reference for MSMEs to map out market segmentation and consumer profiles.
A Study in Government Procurement System: Public-Private Partnership for Infrastructure in Energy Sector
Authors: Aulia Raynaldi P. , W Evi Steelyana
Published: May 2023

Public-private partnerships scheme are increasingly being employed as an alternative government procurement for delivering public services for the past two decades. The collaboration between public and private in the energy infrastructure development has become an interesting topic to be researched especially in the implementation of PPP in energy sector. This study aims to analyze what are the main theme of research in PPP in energy infrastructure development. Using Systematic Literature Review, this qualitative research wants to discuss further about what are the trend of research theme from 2010 to 2020, in different continents and the impact of Accounting to PPP and the connection of PPP research to Accounting and Finance theory. The data were taken from journals that already published from highly selected international journal. The study found that research quality was 48% published in Q1 Scopus Indexed journals. The most popular topics in the body of research are PPP challenges; the importance of the PPP project; Project Management and Regulatory Implications; Risk Management and PPP Financing. In PPP studies there are several topics relate to accounting and theory and Finance which are Cost and Management Accounting and Risk Management on allocating risk and PPP Financing for setting the project implementation more efficient and to create Value for Money.
Construction Management and Dynamic Building Structure’s Sustainability on Engineering’s Technology and Human Development
Authors: Soebandrija Khristian Edi Nugroho , Ho Hwi-Chie , Meilani
Published: May 2023

Construction Management (CM) and Dynamic Building Structure (DBS) constitute indispensable factor within Sustainability Perspective in general and in Environmental, Social and Governance (ESG) within Global Perspectives. Precisely, this paper elaborates discourse on Civil Engineering and Industrial Engineering, including the ergonomics and its anthropometric measurement. The CM and DBS in this paper refers to office activities that involves activities carried out in a room to carry out certain business activities. In general, office activities in Indonesia are carried out by all middle and upper business entities in Indonesia. Generally, current office activities are dominated by the design of open space offices, with the aim of increasing collaboration between employees within the office. The objective of this paper is to observe and provide solutions for workers that experience distractions from co-workers such as talking too loudly so they have higher levels of stress difficulty concentrating and motivation. One of the solutions refer to use of partitions to avoid people experiencing claustrophobia or fear of tight spaces and to create a space of privacy for each employee. Subsequently the discourse on CM and DBS is intertwined with the concept of Environment, Social and Government (ESG) within Global Perspectives. This paper provides solutions within perspective on Civil Engineering and Industrial Engineering’s Technology and Human development. Ultimately, this paper combines theoretical and empirical perspective within the Local Wisdom in Indonesia and subsequently in Global Perspectives.
Alternative Method in Selecting Location of Subsidized Housing Loan in Medan and Deli Serdang, Indonesia
Authors: Irwansyah Edy , Darmasurya Frey , Christia Grady , Andreas Andreas , Nurhasanah Nurhasanah
Published: May 2023

Indonesia is the fourth most populous country in the world. Therefore, the Indonesian government needs to provide a significant amount of housing for Indonesian citizens. In the place and time people live today, housing prices have risen so fast and so high that the lower classes cannot afford to buy their own houses where the government must provide housing for the citizens. To maximize the government's efficiency in making subsidized housing, the government needs to examine many variables to determine which place is most suitable for housing subsidies. Some examples of values that need to be the object of study are to assess the quality of life or life support value of each location such as the local environment, how strategic the place is in terms of how close it is to public facilities. All information provided is not in numeric values. To apply this model to the analysis, it is necessary to carry out the stages of converting values into the same class for each variable. After assessing and converting all the information into a certain value, it can then be calculated to obtain an objective value to determine the most suitable place for subsidized public housing using two types of modelling systems to get the most accurate results.
Implementation of Laravel Framework on Online Presence App Design for Internship Employees (Case Study: PT. XYZ)
Authors: Kusumadewi Asty , Syarifudin  , Sukmandhani Arief Agus , Saputro Immanuela Puspasari
Published: May 2023

Numerous companies use presence as a component of employee presence. PT. XYZ uses presence for all its employees. PT. XYZ has permanent employees, contract employees, and internship employees. Currently, presence data recording for internship employees at PT. XYZ still uses the manual method so it takes a long time and is vulnerable to data manipulation. This study aims to facilitate the management of the presence of internship employees so that they can validate the work location of internship employees and facilitate internship employees in making daily activity reports. This online presence system is designed using the PHP programming language and MySQL as the database. In this study, the author uses the Waterfall Software Development Life Cycle (SDLC) method. Then the system testing was carried out using User Acceptance Testing (UAT) by distributing questionnaires to respondents. Based on the results of the black box testing and user acceptance test (UAT) that have been carried out, it was found that the system developed was in accordance with its function and was very well accepted by internship employees and employees of PT. XYZ.
Crowd Face Detection with Naive Bayes in Attendance System Using Raspberry Pi
Authors: Rahman Riki Fauzi , Suharjito
Published: May 2023

PT. Restu Agung Narogong is a company with a total of 176 employees, queues often occur in the attendance process, both incoming and outgoing attendance. The employee needs to register their attendance. It is time consuming during the shift change. Therefore, a biometric system is needed to support the attendance system to identify employee without registering themselves. One of the alternative biometric systems is face recognition by using a computer vision. The purpose is to implement a crowd face detection with Raspberry Pi using the Naïve Bayes classifier. This system uses an algorithm to extract facial characteristics into mathematical data. Then the data is compared with data from other facial characteristics collected in the database. This device uses Python as a programming language with some of the scientific Python libraries. The testing of the Naïve Bayes method was conducted using a sample of dataset of 370 augmented facial imagery. The accuracy of this implementation is 76.31%, the precision is 78.25% and recall 81.25%. The background and lighting of the captured image affect the accuracy of this device.
Development of E-Commerce Marketing Strategy for Small and Medium Enterprise (SME) in Indonesia
Authors: Maryani Maryani , Perbangsa Anzaludin Samsinga , Lie Yulius , Alianto Hendra
Published: May 2023

E-marketing is a way to market a product, from first meeting to purchase to delivery and beyond. Marketing is about customer management and must establish relationships between goods and customers daily so that there is added value in each process. This study uses quantitative data by collecting data on the number of users, starting from an understanding of E-marketing, the advantages of using E-marketing, and others. E-marketing user data was also collected in every Small and Medium Enterprise (SME) in Indonesia using a questionnaire. This study has a valid amount of data on e-marketing techniques. The types of e- marketing techniques used include pay-per-click, social media marketing, email marketing, paid advertising, and search engines. E-marketing strategies also play a very important role. Strategies regarding the 4Ps and relationship management to achieve the objectives of the plan regarding the product, price, place (distribution channel), and promotion.
The Importance of Disney’s Supply Chain Investment Program in Overcoming the Dark World of Disney”
Authors: Satriana Siti Shafira , Mursitama Tirta Nugraha
Published: May 2023

Child labor is an unsolved global problem. Multinational corporations, such as the Walt Disney Company, seek to address this problem through various social policies and programs, such as supply chain investment programs and operational codes of conduct. The purpose of this study is to see how the Walt Disney Company responds to labor injustice in its efforts to abolish The Dark World of Disney and compare its progress with the Sustainable Development Goals (SDGs) Matrix 2030 criteria for the 8th pillar. This study focuses on the theory of global strategy by Richard Lynch and then the concept and criteria of Environment, Social, Governance (ESG) and the criteria of the 8th pillar of the SDGs Matrix Industry 2030. This research uses qualitative methods with case studies and supply chain ideas to assess the impact and changes that occur because of the actions of companies and stakeholders in the supply chain. Sources of research data are secondary data in the form of journal articles, books, news from Disney's official website on the issue of child labor. The findings of this study are the Supply chain Investment program as a form of program that funds or supports activities and training to improve the supply chain to eliminate the issue of child labor, forced labor, and other worker injustices and its alignment at the ESG criteria and the SDGs Matrix 2030 criteria for the 8th pillar.
The Effect of Leverage, Growth Opportunity, Net Working Capital And Dividend Payment Towards Cash Holding Manufacturing Companies Listed On IDX Period 2018-2020
Authors: Audrey Natasha , Pratiwi Nunik Bhekti , Wicaksono Aries , Carolineto Stella Tio
Published: May 2023

The purpose of the research is to examine about the effect of leverage, growth opportunity, net working capital and dividend payment on cash holding in manufacture companies listed on the Indonesia Stock Exchange for the period 2018 - 2020. The research used 47 manufacture companies that were selected using purposive sampling method for a total of 141 data in three years. Eviews 12.0 used as a data processing program to assist the research process and the research also used panel data regression analysis. The result of the research shows that all independent variables have effects on cash holding simultaneously. The result show that net working capital and dividend payment have positive effects on cash holding, however leverage and growth opportunity have negative effects on cash holding. Thus, this study can be directly contributed to investors, company and further researchers about the specific view of the cash holding on manufacture company in Indonesia.
Branches or Branchless Strategy? The Most Influencing Factors in Financing Industry Performance
Authors: Hadiyanto Heru Santosa , Dwidienawati Diena
Published: May 2023

There are still inconsistencies between the influence of the branch offices or distribution channels. This research aimed to confirm the influence of branch network offices and the performance of the finance company in Indonesia. This research also aimed to see the regional macroeconomics indicator (GDRP, Economic Growth, Population and income per Capita) impact bank performance. A literature study was conducted to formulate hypotheses, and a descriptive quantitative method was conducted based on secondary data of 34 provinces in Indonesia for hypothesis testing. Then PLS program was used to analyze the correlation between variables. The study's findings showed that the number of branches, GDRP, and Economic Growth positively influenced the performance. This research is expected to contribute to the financing industry in addressing the branchless phenomenon in several industries in Indonesia: whether this phenomenon needs to be followed or not, or does it still need to be modified to improve performance which has declined in the last few years.
Virtual Art Exhibition to Encourage Traditional Culture Knowledge for Generation-Z
Authors: Kurniawan Andreas
Published: May 2023

Indonesia as a country that has a lot of traditional cultures, requires attention especially among generation-Z to maintain its sustainability. In many cases, various Indonesian cultures are often claimed by other countries as part of their culture, sometimes for the political purposes, economic, or even industrial motives. Thus, it is important to introduce and strengthen the traditional cultures knowledge, especially to generation-Z as the nation's successors. This study was conducted by creating a virtual gallery exhibition as a manifestation of new media forms that can adapt to the trends from generation-Z. The virtual gallery contains traditional attractions, culinary, dance, tourism, music, folklores, and ethnic houses. Some contents in this virtual gallery applies augmented reality technology with image tracking based. This research used mix method with qualitative and quantitative approach to explore the generation-Z expression. Results, virtual gallery gives an effective penetration to increase the traditional culture knowledge among generation- Z.