bluuebunny/crossref_metadata_2025 huggingface dataset:
Multifilamentary switching of Cu/SiOx memristive devices with a Ge-implanted a-Si underlayer for analog synaptic devices
Authors: Kim Keonhee , Lim Jae Gwang , Hu Su Man , Jeong Yeonjoo , Kim Jaewook , Lee Suyoun , Kwak Joon Young , Park Jongkil , Hwang Gyu Weon , Lee Kyeong-Seok , Park Seongsik , Lee Wook-Seong , Ju Byeong-Kwon , Park Jong Keuk , Kim Inho
Published: September 2023

Various memristive devices have been proposed for use in neuromorphic computing systems as artificial synapses. Analog synaptic devices with linear conductance updates during training are efficiently essential to train neural networks. Although many different analog memristors have been proposed, a more reliable approach to implement analog synaptic devices is needed. In this study, we propose the memristor of a Cu/SiOx/implanted a-SiGex/p++ c-Si structure containing an a-Si layer with properly controlled conductance through Ge implantation. The a-SiGex layer plays a multifunctional role in device operation by limiting the current overshoot, confining the heat generated during operation and preventing the silicide formation reaction between the active metal (Cu) and the Si bottom electrode. Thus, the a-SiGex interface layer enables the formation of multi-weak filaments and induces analog switching behaviors. The TEM observation shows that the insertion of the a-SiGex layer between SiOx and c-Si remarkably suppresses the formation of copper silicide, and reliable set/reset operations are secured. The origin of the analog switching behaviors is discussed by analyzing current-voltage characteristics and electron microscopy images. Finally, the memristive-neural network simulations show that our developed memristive devices provide high learning accuracy and are promising in future neuromorphic computing hardware.
Analysis and ranking of corrosion causes for water pipelines: a critical review
Authors: Hussein Farh Hassan M. , Ben Seghier Mohamed El Amine , Taiwo Ridwan , Zayed Tarek
Published: September 2023

Corrosion is still the most common contributor to failures in Water Distribution Networks (WDNs), causing detrimental techno-socio-economic impacts. Although the corrosion process has been the subject of several studies, factors influencing this process remain a source of contention due to the complexity of the process and its influence by the surrounding environment. Considering the prior reviews, this comprehensive review is considered an early attempt to thoroughly cover the most influential corrosion factors in water pipelines. Corrosion factors have been classified into three main categories: 1) environmental factors; soil factors, external factors, and stray current factors; 2) pipe-related factors, and 3) operational factors. A fault tree analysis diagram was used to map, discuss, and analyze all significant corrosion causes of the buried water pipelines to facilitate easy visualization from basic factors to their intermediate and parent factors. Furthermore, the techno-socio-economic impacts of corrosion on water pipelines and beyond are appropriately addressed to demonstrate the issue’s multi-dimensional importance. The research is expanded to rank these factors using the fuzzy analytical hierarchy process to provide a better understanding of the currently focused research investigation and to enable the extraction of gaps and existing limitations in scholarly literature. The findings revealed that water quality is the most investigated factor, followed by electrical infrastructure and soil quality. Conversely, operational factors exhibit the greatest relative weight (0.428), followed by environmental factors (0.337). These findings highlight areas where further research is needed, and the article proposes potential directions for future studies to address these gaps.
Muometric positioning system (muPS) utilizing direction vectors of cosmic-ray muons for wireless indoor navigation at a centimeter-level accuracy
Authors: Tanaka Hiroyuki K. M.
Published: September 2023

Since the development of many future technologies are becoming more and more dependent on indoor navigation, various alternative navigation techniques have been proposed with radio waves, acoustic, and laser beam signals. In 2020, muometric positioning system (muPS) was proposed as a new indoor navigation technique; in 2022, the first prototype of wireless muPS was demonstrated in underground environments. However, in this first physical demonstration, its navigation accuracy was limited to 2–14 m which is far from the level required for the practical indoor navigation applications. This positioning error was an intrinsic problem associated with the clock that was used for determining the time of flight (ToF) of the muons, and it was practically impossible to attain cm-level accuracy with this initial approach. This paper introduces the completely new positioning concept for muPS, Vector muPS, which works by determining direction vectors of incoming muons instead of utilizing ToF. It is relatively easier to attain a 10-mrad level angular resolution with muon trackers that have been used for muographic imagery. Therefore, Vector muPS retains the unique capacity to operate wirelessly in indoor environments and also has the capacity to achieve a cm-level accuracy. By utilizing an essentially different concept from what is used in other navigation techniques, (measuring the distance between the reference and the receiver), Vector muPS enables more flexible, and longer-term stable positioning. Anticipated applications and the future outlook of Vector muPS is also discussed.
Regulation of follicular activation signaling pathways by in vitro inhibition of YAP/TAZ activity in mouse ovaries
Authors: Devos Melody , Dias Nunes Joana , Donfack Jiatsa Nathalie , Demeestere Isabelle
Published: September 2023

The Hippo pathway plays a crucial role in the regulation of follicular activation, which constitutes the first step of the folliculogenesis process. Disruption of this pathway occurs in several non-physiological contexts, after fragmentation for ovarian tissue cryopreservation procedures or chemotherapy exposure, leading to massive follicular growth and depletion. This study aimed to investigate the effect of controlling the Hippo pathway using verteporfin (VERT) during in vitro ovarian culture and to evaluate its potential preventive effects on chemotherapy-induced follicle activation using a mouse model. After exposure of cut ovaries to different concentrations of VERT for 3 h, a dose-dependent effect of VERT was observed that reached significant inhibition of YAP activity at 3 µmol/L. To assess the potential effect of controlling chemotherapy-induced Hippo pathway disruption, whole mouse ovaries were exposed to VERT alone or as a co-treatment with 4-hydroperoxycylophosphamide (4HC). VERT co-treatment prevented chemotherapy-induced YAP activation but had a limited impact on downstream effector gene, Ccn2. Surprisingly, VERT co-treatment also prevented mTOR and survival signaling pathway alterations following chemotherapy exposure. These results suggest an interaction between the two main signaling pathways regulating follicle activation and a protective effect of VERT on 4HC-induced DNA damage.
A fast strapdown gyrocompassing algorithm based on INS differential errors
Authors: Atashgah M. A. Amiri , Mohammadkarimi Hamed , Ebrahimi Mehrdad
Published: September 2023

This paper presents an enhanced algorithm for inertial gyrocompassing using strapdown sensors, which performs faster than the other available ones. The proposed algorithm is based on differential errors in an inertial navigation system and requires only the output of the inertial measurement unit while extracting and compensating for the inertial sensor errors. After eliminating the error of the inertial sensors, which is accomplished swiftly, the coarse alignment algorithm performs with error-compensated sensors, and the true north is extracted accurately. The number of non-observable parameters of the algorithm is equal to that of the fine alignment algorithm; therefore, its accuracy is the same as that of a well-tuned fine alignment. Numerical simulations and lab experiments demonstrate that the proposed method performs heading estimation in the time required to perform the coarse alignment, which is faster than the existing fine alignment algorithms.
Comparative analysis of the expansion rate and soil erodibility factor of some gullies in Nnewi and Nnobi, Southeastern Nigeria
Authors: Nzereogu Stella Kosi , Igwe Ogbonnaya , Emeh Chukwuebuka Odinaka , Ukor Kelechi Paulinus , Echezona Pearl Elochukwu
Published: September 2023

The research focused on assessing the expansion rate and soil erodibility factor (K) of specific gullies located in Nnewi and Nnobi, Southeastern Nigeria. Fifteen representative gullies were studied extensively. The Grain size distribution analysis revealed that the soils are composed of gravel (5.77–17.67% and 7.01–13.65%), sand (79.90–91.01% and 82.47–88.67%), and fines (2.36–4.05% and 3.78–5.02%) for Nnewi and Nnobi respectively. The cohesion and internal friction angle values range from 1–5 to 2–5 kPa and from 29–38° to 30–34° for Nnewi and Nnobi respectively, which suggests that the soils have low shear strength and are susceptible to shear failure. The plasticity index (PI) of the fines showed that they are nonplastic to low plastic soils and highly liquefiable with values ranging from 0–10 to 0–9% for Nnewi and Nnobi respectively. Slope stability analysis gave factor of safety (FoS) values in the range of 0.50–0.76 and 0.82–0.95 for saturated condition and 0.73–0.98 and 0.87–1.04 for unsaturated condition for both Nnewi and Nnobi respectively indicating that the slopes are generally unstable to critically stable. The erosion expansion rate analysis for a fifteen-year period (2005–2020) revealed an average longitudinal expansion rate of 36.05 m/yr and 10.76 m/yr for Nnewi and Nnobi gullies respectively. The soil erodibility factor (K) are 8.57 × 10−2 and 1.62 × 10−4 for Nnewi and Nnobi respectively indicating that the soils in Nnewi have higher erodibility potentials than those of Nnobi. Conclusively, the Nnewi area is more prone to erosion than the Nnobi area.
Evaluation of antibiofilm properties of dehydroacetic acid (DHA) grafted spiro-oxindolopyrrolidines synthesized via multicomponent 1,3-dipolar cycloaddition reaction
Authors: Suresh Babu Adukamparai R. , Sharma Akanksha , Athira M. P. , Alajangi Hema K. , Naresh Raj A. R. , Gartia Janeka , Singh Gurpal , Barnwal Ravi Pratap
Published: September 2023

The current work involves the use of dehydroacetic acid based chalcone derivatives for the synthesis of spirooxindole grafted pyrrolidine moieties. All the synthesized compounds have been characterized using spectroscopic techniques such as NMR (1H-NMR and 13C-NMR), IR, mass and elemental analysis. Molecular mechanics studies were performed to comprehend the regioselectivity in the product formation. Molecular docking of the synthesized compounds was performed with few bacterial proteins of Bacillus subtilis and Pseudomonas aeruginosa responsible for biofilm formation followed by molecular dynamics simulations with the potential lead compound. Further, to corroborate the results obtained via in silico study, anti-biofilm activity etc. of the synthesized compounds (4a–e) was checked for effectiveness against biofilm formation. Taken together, this study opens up to explore these compounds’ multiple roles in diverse fields in the arena of medical sciences.
A new versatile peroxidase with extremophilic traits over-produced in MicroTom cell cultures
Authors: Gogliettino Marta , Cocca Ennio , Apone Fabio , Del Prete Sonia , Balestrieri Marco , Mirino Sara , Arciello Stefania , Palmieri Gianna
Published: September 2023

Peroxidases are widespread key antioxidant enzymes that catalyse the oxidation of electron donor substrates in parallel with the decomposition of H2O2. In this work, a novel tomato peroxidase, named SAAP2, was isolated from MicroTom cell cultures, purified, and characterised. The enzyme was identified with 64% sequence coverage as the leprx21 gene product (suberization-associated anionic peroxidase 2-like) from Solanum lycopersicum, 334 amino acids long. Compared to other plant peroxidases, SAAP2 was more active at elevated temperatures, with the optimal temperature and pH at 90 °C and 5.0, respectively. Furthermore, the enzyme retained more than 80% of its maximal activity over the range of 70–80 °C and the presence of NaCl (1.0–4.5 M). It also exhibited broad pH versatility (65% relative activity over the pH range 2.0–7.0), acid-tolerance (80% residual activity after 22 h at pH 2.0–7.0), high thermostability (50% residual activity after 2 h at 80 °C) and proteolytic resistance. SAAP2 exhibited exceptional resistance under thermo-acidic conditions compared to the horseradish peroxidase benchmark, suggesting that it may find potential applications as a supplement or anti-pollution agent in the food industry.
Comparing MS imaging of lipids by WALDI and MALDI: two technologies for evaluating a common ground truth in MS imaging
Authors: Ledoux Léa , Zirem Yanis , Renaud Florence , Duponchel Ludovic , Salzet Michel , Ogrinc Nina , Fournier Isabelle
Published: September 2023

The first calculations of the similarity and correlation of lipid images between MALDI and WALDI for evaluating a common ground truth in MS imaging.
Microdialysis on-chip crystallization of soluble and membrane proteins with the MicroCrys platform and in situ X-ray diffraction case studies
Authors: Jaho Sofia , Sallaz-Damaz Yoann , Budayova-Spano Monika
Published: September 2023

The MicroCrys platform was developed to automate on-chip dialysis crystallization of proteins via chemical composition and temperature control, facilitating the optimization of crystallization conditions and the exploration of protein phase diagrams.
Fluorination effects probed in 4-fluoroacetophenone and its monohydrate
Authors: Wang Xiujuan , Li Jiayi , Lei Juncheng , Xu Xuefang , Zheng Yang , Chen Junhua , Tian Xiao , Gou Qian
Published: September 2023

One conformer of 4-fluoroacetophenone and two isomers of 4-fluoroacetophenone-H2O were observed. Fluorination effects on geometry, internal rotation of methyl group, and non-covalent interactions were analyzed.
Recent trends on MIL-Fe metal–organic frameworks: synthesis approaches, structural insights, and applications in organic pollutant adsorption and photocatalytic degradation
Authors: Channab Badr-Eddine , El Ouardi Mohamed , Ait Layachi Omar , Marrane Salah Eddine , El Idrissi Ayoub , BaQais Amal , Ait Ahsaine Hassan
Published: September 2023

Metal–organic frameworks (MOFs) are gaining considerable interest for various uses ranging from adsorption, photocatalysis, electrocatalysis, chemical sensing, catalysis and gas separation.
Densification pretreatment with a limited deep eutectic solvent triggers high-efficiency fractionation and valorization of lignocellulose
Authors: Shen Guannan , Yuan Xinchuan , Cheng Yin , Chen Sitong , Xu Zhaoxian , Jin Mingjie
Published: September 2023

A DES was integrated into a novel densification pretreatment technology (DLCA) to realize lignocellulose fractionation and valorization with low DES dosage and high fractionation efficiency.
A review on nickel-rich nickel–cobalt–manganese ternary cathode materials LiNi0.6Co0.2Mn0.2O2 for lithium-ion batteries: performance enhancement by modification
Authors: Chang Longjiao , Yang Wei , Cai Kedi , Bi Xiaolong , Wei Anlu , Yang Ruifen , Liu Jianan
Published: September 2023

A comprehensive review of modification research on medium-nickel-content ternary material NMC622 mainly on boundary-interfacial engineering, which aims to inspire thinking about breaking through the current limitations of NMC622.
Micrometer-scale single crystalline particles of niobium titanium oxide enabling an Ah-level pouch cell with superior fast-charging capability
Authors: Zhan Renming , Liu Shiyu , Wang Wenyu , Chen Zihe , Tu Shuibin , Wang Xiancheng , Ge Hanlong , Luo Hongyu , Chai Tianqi , Ou Yangtao , Tan Yuchen , Sun Yongming
Published: September 2023

Fundamental investigations of the electrochemical behavior and the structural evolution for single crystalline TiNb2O7 have been conducted and its application in Ah-level fast-charging lithium-ion batteries has been demonstrated.
Highly stretchable and self-healing photoswitchable supramolecular fluorescent polymers for underwater anti-counterfeiting
Authors: Deng Haitao , Wang Hong , Tian Yong , Lin Zhong , Cui Jiaxi , Chen Jian
Published: September 2023

Photoswitchable supramolecular fluorescent polymers (PSFPs) were prepared that can adaptively change their fluorescence between none, green and red by the irradiation of different light. PSFPs were successfully applied in underwater data encryption and anti-counterfeiting labels.
Facile synthesis of benzoxazole derivatives by a multi-component reaction catalysed by copper complexes capable of generating phenoxyl radical complex
Authors: Chaudhary Virendra Kumar , Singh Sain , Kumar Kapil , Choudhury Angshuman R. , Ghosh Kaushik
Published: September 2023

Cu(ii) complexes were designed, synthesized, and characterized. The molecular structures of the complexes were determined by X-ray crystallography. Catalytic activity studies on these complexes afforded benzoxazole derivatives via a radical pathway.
Highly dispersed ultra-small RuO2 nanoparticles on NiO nanosheet arrays as efficient pH-universal hydrogen evolution electrocatalysts
Authors: Du Dongdong , Du Yiyun , Feng Yongjun , Li Dianqing , Tang Pinggui
Published: September 2023

Extremely active RuO2/NiO/NF nanosheet arrays with efficient pH-universal HER electrocatalysis were fabricated via a simple in situ hydrothermal growth strategy.
Direct C(sp2)–H fluoroalkylation of quinoxalin-2(1H)-ones with (fluoroalkyl)triphenylphosphonium salts and alkenes
Authors: Wang Wenwen , Zhu Tonghao , Wu Jie
Published: September 2023

A photoredox-catalyzed direct C(sp2)–H fluoroalkylation of quinoxalin-2(1H)-ones with (fluoroalkyl)triphenylphosphonium salts and alkenes is described, providing a practical approach for the generation of diverse fluoroalkyl-containing quinoxalin-2(1H)-ones.
Will Brain Imaging Lead to a Translational Neuroscience of Stuttering?
Authors: Bowers Andrew
Published: September 2023

Purpose:

This perspective article examines whether brain imaging in stuttering will lead to a translational neuroscience of stuttering.

Method:

A brief narrative review of insights gained from neuroimaging in stuttering is provided, followed by a series of questions about whether such insights can facilitate better understanding sufficient to inform a translational neuroscience of stuttering.

Results and Conclusions:

Despite the continually growing body of brain imaging data and the introduction of causal approaches, it is unclear whether or how neuroimaging will lead to brain-based approaches to facilitate neuroplasticity or the development of novel interventions. Most neuroimaging studies to date have focused on overt stuttering as a primary behavioral correlate of brain images or causal manipulations, but it is unclear how those measures are related to important insights derived from the internal experience of stuttering. It is suggested that additional knowledge working from cognitive–behavioral–affective measures derived from the experience of stuttering could lead to further insights into underlying mechanisms that would be a boon to translational neuroscience. Following broader objections to reductionism in neuroscience, it is argued that functional models and cognitive processes specific to stuttering in context are critical as epistemological priors followed by careful behavioral and then neurophysiological experiments. As a potential path forward, a pluralistic perspective is offered, working from multifactorial conceptualizations of stuttering and Marr's concept of multiple levels.
Single‐mode optical fibre digital decoder based on polarization using a K‐nearest neighbour algorithm
Authors: Ibáñez‐Camarillo David , Martínez‐Piñón Fernando , Márquez‐Olivera Moisés Vicente , Hernández‐Herrera Viridiana Gudelia , Vidal‐Beltrán Sergio
Published: September 2023

It is shown experimentally a new digital optical decoding scheme based on the transmission or polarized light at p polarization planes using a K‐Nearest Neighbour (KNN) algorithm through a single‐mode optical fibre at 633 nm. The optical power signal is sent at p polarization planes which constitute p classes required for signal bit recognition. Results show that it is possible to recognize 32 polarizations planes, 5 bits, using 4 features corresponding to the measurement of optical power at 4 different angles at the photodetector side with an average assertiveness of 99.02%.
Analyzing the maximum angle of light‐emitting diodes for indoor visible light communication
Authors: Inn Arbaiah , Hassan Rosilah , Hasan Mohammad Kamrul , Latiff Liza Abdul , Deriche Mohamed
Published: September 2023

In this letter, an optimal arrangement of the Light‐Emitting Diodes (LED) for an indoor Visible Light Communication (VLC) setup is presented by using the simulation model. The idea is to get the maximum angle of covering the area of the LED as an access point during user mobility in keeping the connectivity between the user and the access point. As a result, an analysis of data rate measurement is discussed using the maximum angle rotation of the LED as an access point. The authors present validation simulation results for a Line‐of‐Sight configuration. The authors demonstrated that the angle change movement can be carried out efficiently. Results suggest that the directivity at the transmitter can enlarge the area region of the transmitter and user mobility.
Optimal negative sequence current suppression strategy without phase‐locked loop based on the control of clustered new energy power stations
Authors: Li Zhenxing , Zhu Yi , Hu Cong , Tan Hong , Weng Hanli , Li Zhenhua
Published: September 2023

In the context of extremely uneven sources and loads in China, several large‐scale power transmission systems have been established. Affected by the small equivalent impedance of the system, the increase of negative sequence currents during open‐phase operation has seriously threatened the stable operation of synchronous generators. The necessity of negative sequence current suppression is particularly prominent. To address the above issues, this paper analyzes the feasible negative sequence suppression capacity of the grid‐connected inverter under the principle of positive sequence priority. Using the geometric analysis method to determine the optimal suppression capacity. The none‐phase‐locked loop (PLL) control method is used to improve the response speed and form the negative sequence current suppression strategy adapted to the open‐phase operation period. A simulation model was built in PSCAD to verify the effectiveness of the proposed strategy. The result shows that the suppression strategy has a faster response than the conventional PLL control. In scenarios with large negative sequence currents to be suppressed, a maximum suppression effect of approximately 63% can be achieved. Compared with the traditional suppression capacity selection, the strategy in this paper can reduce the residual of negative sequence current by about 10% at most. The negative sequence currents intruding into the generator can be effectively suppressed without additional devices.
High‐frequency resonance in HVDC and wind systems: Root causes and solutions
Authors: Sun Jian , Vieto Ignacio , Buchhagen Christoph
Published: September 2023

This paper presents methods to model and solve high‐frequency resonance problems in HVDC and wind power systems. Control and digital PWM delays are identified as a common root cause for such resonances. A systematic method to include such delays in small‐signal sequence impedance models is presented. The developed models are fully validated and used to characterize the effects of delay on system stability. In addition to full models that can predict the associated impedance and negative damping behaviour accurately, simplified approximate models are also presented to gain insights. The method is applied to type‐III and type‐IV turbines as well as HVDC converters based on modular multilevel converters (MMC). In addition to resonance of MMC and wind turbines with overhead transmission lines, the paper also identifies several other modes of high‐frequency resonance, including resonance between wind turbines and MMC HVDC converters, among different wind turbines, and between MMC HVDC converters and cables. Different methods to damp high‐frequency resonances are also discussed and demonstrated.
An improved uncertainty autoencoder with blurred measurements
Authors: Xu Ke , Wu Weiqiang , Xu Hongguang
Published: September 2023

Compressed sensing (CS) techniques have enabled efficient acquisition and recovery of sparse high‐dimensional data via succinct low‐dimensional projections, which usually consist of an encoder and a decoder. Unlike conventional CS techniques with the encoding–decoding architecture, the uncertainty autoencoder (UAE) can sample from the learned input data distribution without an explicit likelihood function and hence avoids potential uninformative latent representations. However, existing works on UAE mainly focus on the encoders and maximize the lower bound of the mutual information between input and measurements, rather than the decoders, which brings the shortcoming that the two may not cope well. In this work, the authors propose a novel training scheme for UAE that blurs the measurements to learn the encoder and decoder simultaneously. Experimental results show that the proposed method improves the reconstruction performances when applied to UAE.
Politique d’import-substitution au blé et compétitivité des farines panifiables à base de manioc, banane plantain et patate douce au Cameroun
Authors: Fofiri Nzossié Eric Joël , Temple Ludovic
Published: September 2023

Cette étude a pour objectif de documenter le renouvellement d’une politique alimentaire d’import-substitution au Cameroun. Elle interroge en quoi la production de farines panifiables à partir de productions vivrières locales (manioc, banane plantain, patate douce) peut devenir compétitive par rapport aux importations de blé. Elle utilise pour cela un cadre d’analyse de filière et declusteralimentaires, ainsi que des bases de données primaires et secondaires et des enquêtes. Les résultats confirment une tendance à l’importation croissante de blé, qui présente des risques à l’avenir pour la souveraineté alimentaire. Ils montrent qu’il est difficile de se concentrer uniquement sur un objectif de substitution à la farine importée. La production nationale de manioc, de banane plantain et de patate douce fournit encore peu d’excédents pour répondre aux besoins d’une production industrielle de farines panifiables. En revanche, ces résultats confirment l’opportunité de développement declustersconstitués de petites unités de transformation valorisant une diversité de produits locaux à partir des produits amylacés tropicaux.
Study of using Coal Fly Ash (CFA) and Rice Husk Ash (RHA) on the Compressive Strength of Geopolymer Concrete
Authors: Insyira Andiensa Hana , Wijayanti Yureana , Setyandito Oki , Putra Dian Pratama , Adi Soekotjo Nugroho , Sasongko Ernie , Anda Martin
Published: September 2023

Concrete is a material that is widely used in the construction world. The production of Portland cement in concrete leads to CO2 emissions that have an impact on global warming. Geopolymer Concrete is an eco-friendly material because it does not use Portland cement. Geopolymer cement is made from waste materials such as fly ash (FA) by alkali activation. In geopolymer, sodium silicate is a commonly used activator that is produced commercially. In this study, rice husk ash (RHA) from agricultural waste was used as an activator for geopolymer cement. The objective of this study is to review the chemical component of FCA and RHA and, to examine the effect of RHA in geopolymer concrete mixed design on the compressive strength. The geopolymer concrete binder is using 12 M NaOH and Na2SiO3, with variations for RHA 0%, 5%, 7.5%, and 10%. The specimens were treated for 28 days, curing in a 70oC oven for 24 hours then curing at ambient temperature. The result shows that geopolymer concrete has a higher compressive strength compared to ordinary Portland cement (OPC) as much as a 5.9 MPa difference with geopolymer concrete of RHA10% of 25 MPa.
Assessing Agricultural Water Reliability in Jetis Irrigation Area Using the F.J. Mock Hydrological Model
Authors: Batas Eiren Syurike , Wijayanti Yureana , Kesuma Lalu Marhayani
Published: September 2023

Jetis Irrigation area is located in Sidohardjo Subdistrict, Sragen Regency, Central Java, and is known for its rice crop production. This study aimed to assess water availability, estimate water requirements, and analyze irrigation expansion in the area. Data on discharge, evapotranspiration, rainfall, and flow area were collected and analyzed using the F.J. Mock method. This method enabled monthly calculations of water balance analysis and discharge rates. The study found that the availability of water at Q80% and Q90% discharge rates was sufficient to meet the water needs of the Jetis irrigation area. By assessing agricultural water reliability, policymakers can incorporate these findings into land-use planning and water allocation decisions.
Depth-averaged vs. Full 3-D SPH Models: A Comparison of Accuracy and Computational Speed for Simulating Dam Break Flash Flood
Authors: Aslami Muhammad Hafiz
Published: September 2023

Dam-break flow is a three-dimensional (3-D) phenomenon that is often numerically modeled using depth-averaged formulation, omitting the 3-D effect for computational efficiency. This study compares the performance and accuracy of depth-averaged and 3-D models, particularly using Smoothed Particles Hydrodynamics (SPH) method. Both models accurately predict flow evolution, with the 3-D model capturing detailed 3-D effects. However, the depth-averaged model shows significantly shorter computation time (by 20 times) and memory usage due to fewer particles used. However, it shows slower computational effort per particle due to the time-consuming Newton-Raphson iterative procedure. This study provides insights into the performance and accuracy of two commonly used models in simulating violent fluid dynamics, aiding model selection for specific applications.
The effect of retrofitting high-rise buildings with steel plate shear walls
Authors: Aziz Rafi Ramdhani , Hidayat and Irpan
Published: September 2023

The construction of high-rise buildings carries the potential for collapse due to lateral loads, such as wind and earthquake forces. Therefore, the use of lateral force retaining systems need to consider in designing high-rise building. This research provides an overview of how the performance of a high-rise building with stiffened steel plate shear walls (SPSW) as a lateral force retaining systems. The study evaluates the impact of SPSW on a story drift and cross-section capacity of beams and columns high-rise building. The results indicate that SPSW systems enhances the seismic performance of high-rise building. Specifically, the use of SPSW with the thickness 18.7 mm has the most significant effect on the story drift and cross-section capability of columns. Using thicker steel plate shear walls can effectively decrease the story drift experienced in high-rise buildings. Based on the results, the story drift value is reduced by 3-6 mm with a structural system with SPSW. On the other hand, the cross-section capability of the column element is also improved. However, the increasing thickness of SPSW does not have a significant impact on the cross-section of the beam element.
Improvement of the Health, Safety and Environment (HSE) Standard Operational Procedure in Construction Project
Authors: Arumsari Putri , Zayini Astari Nugroho Affiy
Published: September 2023

Multi-storey building is a construction project that has a high level of work risk. The risk of work accidents can be minimized by implementing the Health, Safety and Environment (HSE) standard operational procedures (SOPs) in accordance, but there are still many HSE SOPs that have not been implemented properly. This study uses a questionnaire and interview methods which will then be analysed using Statistical Packages for Social Sciences (SPSS) to determine the effect of implementing Occupational Health and Safety Management System on construction projects through multiple linear regression tests and obtained regression models. The objective of this research is to improve HSE SOPs by analysing which dominant factor that influences the implementation of Occupational Health and Safety Management System (OHSMS). The result of the analysis shows that the factors that influence the implementation of the HSE SOP are from the Development and Maintenance, Planning Control, Work Safety based on the Project Reference, Monitoring Standards, and Submission and Improvement Deficiencies factor. Through the regression equation, it can be concluded that the 5 factors above influences 66,9% to the implementation of OH.
Urban Air Mobility as the Environmental-Friendly Transport of the future in Indonesia? Some Legal Considerations
Authors: van Huis Stijn Cornelis
Published: September 2023

This paper investigates the legal framework required to develop a safe and sustainable Urban Air Mobility system in Indonesia. A coherent and comprehensive legal framework for UAM minimizes the risks posed by mass application of drones. Risk mitigation is essential, as public opinion, social resistance, and costs will determine how the public will receive such services. To ensure sustainability, drone services must be safe, comfortable, and not disturb local communities too much. Accidents are detrimental to trust and increase insurance costs. Areas that require special regulatory attention are requirements for aircraft, requirements for the ground station, requirements for operations, minimization of visual and sound pollution, and rights and responsibilities of operators vis-à-vis users and third parties. This paper explores the extent to which current Indonesia’s drone regulations provide a legal framework for future mass use of drones for transportation and provide recommendations for further regulation and risk mitigation.
Kousoku Lane technology adaption for standard operation procedure in the restaurant: A case study of Genki Sushi
Authors: Janice Valencia , Liem Jocelyn Panlen , Kusumawardhana Indra
Published: September 2023

Technology has been building its sign on the restaurant industry by changing the restaurants standard operation procedure and adapt to new demand as well as challenges. To be successful in today’s world, restaurant operator must be agile and adjust quickly. Following the industrial revolution from manpower into robots, the usage of robots in restaurant industry were meant to improve efficiency and productivity. Through Technology Adaption Management (TAM) theoretical framework, this study aimed to investigate customer’s perception from the usage of Kousoku Lane technology at Genki Sushi JABODETABEK towards revisit intention. The quantitative study employs the primary data sourced from 270 customers of Genki sushi within the area of JABODETABEK that responded the designated of Likert scale questionnaires. The data obtained was analysed using the IBM SPSS Statistics 27 program to test the research hypotheses and present the indicators of TAM in Kousoku Lane that most influenced customer’s revisit intention. From each test of, the results showed that each factors of TAM used for the test were reliable to determine its effects on customer’s revisit intention, and it can be found that the 5 factors tested had impacts toward revisit intention, with factor Perceived Ease of Use, had the most effect on customer’s revisit intention meanwhile factor Perceived Enjoyment, had the least effect on customer’s revisit intention. To conclude, the result of this study proved that the adaption of Kousoku Lane technology improved Genki Sushi restaurant’s performance and productivity that resulted customer to visit again. Despite the limitation of the study, this article opens a new conversation among restaurateurs to consider technology use and academic investigation towards the impact on restaurant sustainability.
Rainwater Harvesting for Water Conservation in Sanur’s Tourism Harbour Building: A SWMM Simulation
Authors: Rafsanjani Alief , Setyandito Oki , Farell
Published: September 2023

This study focuses on the implementation of rainwater harvesting as a water conservation alternative in the Sanur International Tourism Harbour Building. The research was conducted to evaluate the effectiveness of this technique in reducing the building’s dependence on freshwater resources and to determine its potential as a sustainable water management solution. The implementation of rooftop rainwater harvesting was considered, and SWMM (Storm Water Management Model) simulation was used to model the hydrological processes, including rainfall, runoff, and infiltration in the study area. The model was calibrated using observed rainfall data collected from the vicinity. The results of the SWMM simulation showed that the rainwater harvesting system was effective in reducing the building’s dependence on freshwater resources and that the system can collect an estimated 41.58 m3 of rainwater. This amount is deemed sufficient to support and overall reduce freshwater consumption and contribute to the conservation of freshwater resources in the area. The study demonstrated the potential of rainwater harvesting as an effective water conservation method for buildings in Sanur, Bali. The implementation of such a system can not only reduce freshwater consumption but also contribute to sustainable water management practices in the region.
Developing smart people in smart cities through education: The role of personality
Authors: Godwin Raymond , Wisudha Ayleen , Wibowo Rahma Syarafina , Paramita Greta Vidya , Peranginangin Yan Andre , Desson Stewart
Published: September 2023

Since 2017, Indonesia has implemented a pilot project for the Smart City Movement. Even though focused on digital technology usage, smart cities also need people with skills in the digital economy. As one of the foundational skills in the digital economy, Human Skills are vitally important and in greater demand in smart cities. This becomes a challenge as well as an opportunity for higher education. The present study relates Human Skills to graduate attributes as developed by BINUS University, called BINUS Graduate Attributes (BGA) and identifies the role of personality as an access point for developing those skills. Using questionnaires distributed through BINUS Maya and the Lumina Spark online system, we collected 2,014 participants from various majors at the undergraduate level. Out of the 24 personality qualities measured in the Lumina Spark model, Adaptable and Cautious are qualities that do not significantly correlate with those skills. Through regression analysis, it was shown that several qualities have a role in predicting each skill. The result of this study can be used for educators to modify learning methods and environments that enhance the possibility for students to develop each of these Human Skills by utilizing their personalities.
A review of Microfluidic blood separation techniques
Authors: Tanjaya Hengky , Darius Raphael Albert , Debora  , Hananda Nico , Kamul Azure , Prajitna Stefanus Hanifa , Harito Christian , Susanto Rudy
Published: September 2023

Microfluidic blood separation is a modern biological technology used to separate blood cells from their fluids. Blood cells present in the blood become an important outline of many diseases. To maintain the stability and sterility of blood, a tool with renewable technology and a large capacity is needed. Microfluidic blood separation has important assets, especially changes in the physicochemical properties of blood cells that are used for quick and accurate clinical diagnosis. Dissemination of structural materials and compositions from the separation and sorting of blood uses a technical system that will create this optimal microfluidic blood separation in research. As for this paper structure starts with introduction, then continued with literature review, type of Microfluidic methods, application of Microfluidic, and bibliometric analysis. With those methods the result could be conducted with systematic literature reviews. Therefore, this study is prepared to identify research gaps in topics related to Microfluidic blood separation techniques. Related studies about microfluidic blood separation techniques are identified using bibliometric analysis and systematic literature review of the study search index through database Scopus-indexed publications. The results from this paper reveal the topics in urine as a parameter for Microfluidic separations as the research gap according to Microfluidic separations. This paper expects research on Microfluidic blood separation techniques will continue to be developed to maximize the potential of Microfluidic blood separations in helping the research process.
Statistical Process Control (SPC) Implementation in Manufacturing Industry to Improve Quality Performance: A Prisma Systematic Literature Review and Meta Analysi
Authors: Hadiyanto  , Sitepu Elioenai
Published: September 2023

The fundamental need for quality in manufacturing is the production process must be able to generate the product with an acceptable variance from the stated quality index. Statistical process control (SPC) is frequently used to monitor standards, take measurements, and take corrective action. Preferred Reporting Items for Systematics Reviews and Meta-Analyses (PRISMA) methods were used to better inform reviewers and readers about the authors’ actions and findings, speed up the review process, and improve the quality of the reporting. Publish or perish, VOS viewer, and Mendeley Desktop were also used to search related articles and analyze the bibliometric. The conclusion notes that integrating other quality approaches has increased the use of SPC in the manufacturing sector. This was applied within other quality improvement programs such as Six Sigma and TQM. Even though SPC is a statistically based technique, challenge, and limitation factors showed that implementing SPC in the manufacturing industry will be successful if other crucial factors like management, education/training, culture, and the availability of human resources are well-prepared. In conclusion, the authors hope that this review will highlight the value of SPC as a potential tool for quality control and enhancement in the manufacturing sector.
Traditional Marketplace with Natural Lightings Through Louvers at Sunter Agung
Authors: Tionardi Stevanus , Wijaksono Sigit
Published: September 2023

Sustainability Development Goals (SDG) point 11.b inquires the increment of cities and settlements that able to utilize resources efficiently and able to adapt with its environment. To achieve this goal, every part of the city has to be designed well enough to meet these standards while also being able to maintain it perpetually. Market as an important part of a society where people buy and sell their daily necessities, thus have to meet this goal/target. However, due to the declining condition of the building, poor management, and the existing negative stigma toward traditional market, these traditional markets are started to become neglected and hazardous to the users and in need of urgent repairs. Therefore, the market’s building designs require much needed improvements to the current traditional market’s conditions to reach its building requirements and user’s comfort. In addition, to create a sustainable environment, natural elements are also utilized to reduce building’s energy usage in particular by utilizing natural lighting / sunlight and natural ventilation. This paper presents simulation data of sunlight entering the building focusing on louvers usage within the building’s element in order to maximize the sunlight usage, not including the usage of skylight.
Analysis Workstation in Manufacturing Industry using Occupational Repetitive Action (OCRA) Index Method to Reduce Risk of Work-Related Musculoskeletal Disorder
Authors: Romi Firdaus Muhamad , Roni Sahroni Taufik
Published: September 2023

According to analysis of Global Burden of Disease (GDB) 2019 data, approximately 1.71 billion people have musculoskeletal disorder (MSDs) worldwide. It could cause constant pain and limitations in mobility, dexterity, and reducing people’s ability to work. Musculoskeletal disorders can be caused by repetitive and heavy work activities. On Hub 2/3 work station, production is carried out by machining processes using CNC machines, drilling machines and tapping machines with predetermined target outputs. In this process, there are repetitive actions which have risk of musculoskeletal disorders. By using the OCRA method and calculating the OCRA Index value, the operator 1 is in the red zone, then operator 2 and operator 3 are in the yellow zone which means the work conditions at workstations must be improved. The objective of this paper is to analyze Hub 2/3 workstations in order to minimize the risk of musculoskeletal disorders for each operator. The proposed improvement are given to fulfill the objectives of this paper. The results of the OCRA calculations with the assumption that all proposed improvements are applied are smaller than the previous calculations which means the risk of musculoskeletal disorders is reduced.
The effect of paylater on purchase decision and continuance intention in generation Z at GoFood application
Authors: Budiman Cindy , Tanjaya Kalneta , Zulkarnain Arif , Rosman Dendy
Published: September 2023

In the age of digitalization, technology and information are developing rapidly, and the internet network is widespread, allowing individuals to do numerous transactions online. Electronic commerce, or e- commerce, is facilitated by many businesses. Nowadays people rarely want to bring cash and want payment method to be as simple as possible, with that a lot of people especially Generation Z choose using paylater as their payment method. This study aims to determines the effect of perceived ease of use, perceived security, and perceived usefulness of paylater on purchase decision at GoFood. Also, to determine the effect of purchase decision of Paylater on continuance intention at GoFood. The research method used on this study is quantitative research and the data collection techniques was carried out by surveying 200 respondent through questionnaire which are Gopay users live in Jakarta that are Generation Z and have made transaction at least once a month using Gopaylater. We use structural equation modelling (SEM) and SmartPLS for analyzing our data. The result of this study indicate that perceived ease of use and perceived security have significant positive effect on purchase decision. And, also purchase decision has a positive significant effect on continuance intention. But perceived usefulness do not have significant effect on purchase decision.