bluuebunny/crossref_metadata_2025 huggingface dataset:
Y-type hexagonal ferrite-based band-pass filter with dual magnetic and electric field tunability
Authors: Popov Maksym , Xiong Yuzan , Zavislyak Igor , Chumak Hryhorii , Fedorchuk Oleksandr , Saha Sujoy , Bidthanapally Rao , Qu Hongwei , Page Michael R. , Srinivasan Gopalan
Published: January 2023

This work is on the design, fabrication and characterization of a hexagonal ferrite band-pass filter that can be tuned either with a magnetic field or an electric field. The filter operation is based on a straight-edge Y-type hexagonal ferrite resonator symmetrically coupled to the input and output microstrip transmission lines. The Zn2Yfilter demonstrated magnetic field tunability in the 8–12 GHz frequency range by applying an in-plane bias magnetic field H0 provided by a built-in permanent magnet. The insertion loss and 3 dB bandwidth within this band were 8.6 ± 0.4 dB and 350 ± 40 MHz, respectively. The electric field E tunability of the pass-band of the device was facilitated by the nonlinear magnetoelectric effect (NLME) in the ferrite. The E-tuning of the center frequency of the filter by (1150 ± 90) MHz was obtained for an input DC electric power of 200 mW. With efforts directed at a significant reduction in the insertion loss, the compact and power efficient magnetic and electric field tunable Zn2Y band-pass filter has the potential for use in novel reconfigurable RF/microwave devices and communication systems.
Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder
Authors: Arutiunian Vardan , Gomozova Militina , Minnigulova Alina , Davydova Elizaveta , Pereverzeva Darya , Sorokin Alexander , Tyushkevich Svetlana , Mamokhina Uliana , Danilina Kamilla , Dragoy Olga
Published: January 2023

Language impairment is comorbid in most children with Autism Spectrum Disorder (ASD) but its neural basis is poorly understood. Using structural magnetic resonance imaging (MRI), the present study provides the whole-brain comparison of both volume- and surface-based characteristics between groups of children with and without ASD and investigates the relationships between these characteristics in language-related areas and the language abilities of children with ASD measured with standardized tools. A total of 36 school-aged children participated in the study: 18 children with ASD and 18 age- and sex-matched typically developing controls. The results revealed that multiple regions differed between groups of children in gray matter volume, gray matter thickness, gyrification, and cortical complexity (fractal dimension). White matter volume and sulcus depth did not differ between groups of children in any region. Importantly, gray matter thickness and gyrification of language-related areas were related to language functioning in children with ASD. Thus, the results of the present study shed some light on the structural brain abnormalities associated with language impairment in ASD.
Serum biomarker-based early detection of pancreatic ductal adenocarcinomas with ensemble learning
Authors: Nené Nuno R. , Ney Alexander , Nazarenko Tatiana , Blyuss Oleg , Johnston Harvey E. , Whitwell Harry J. , Sedlak Eva , Gentry-Maharaj Aleksandra , Apostolidou Sophia , Costello Eithne , Greenhalf William , Jacobs Ian , Menon Usha , Hsuan Justin , Pereira Stephen P. , Zaikin Alexey , Timms John F.
Published: January 2023

Background

Earlier detection of pancreatic ductal adenocarcinoma (PDAC) is key to improving patient outcomes, as it is mostly detected at advanced stages which are associated with poor survival. Developing non-invasive blood tests for early detection would be an important breakthrough.

Methods

The primary objective of the work presented here is to use a dataset that is prospectively collected, to quantify a set of cancer-associated proteins and construct multi-marker models with the capacity to predict PDAC years before diagnosis. The data used is part of a nested case-control study within the UK Collaborative Trial of Ovarian Cancer Screening and is comprised of 218 samples, collected from a total of 143 post-menopausal women who were diagnosed with pancreatic cancer within 70 months after sample collection, and 249 matched non-cancer controls. We develop a stacked ensemble modelling technique to achieve robustness in predictions and, therefore, improve performance in newly collected datasets.

Results

Here we show that with ensemble learning we can predict PDAC status with an AUC of 0.91 (95% CI 0.75–1.0), sensitivity of 92% (95% CI 0.54–1.0) at 90% specificity, up to 1 year prior to diagnosis, and at an AUC of 0.85 (95% CI 0.74–0.93) up to 2 years prior to diagnosis (sensitivity of 61%, 95% CI 0.17–0.83, at 90% specificity).

Conclusions

The ensemble modelling strategy explored here outperforms considerably biomarker combinations cited in the literature. Further developments in the selection of classifiers balancing performance and heterogeneity should further enhance the predictive capacity of the method.
System design of large-area vertical photothermoelectric detectors based on carbon nanotube forests with MXene electrodes
Authors: Wang Jiaqi , Xie Zhemiao , Liu Jiayu Alexander , Zhou Rui , Lu Guanxuan , Yeow John T. W.
Published: January 2023

In this paper, we propose a packaged PTE detector utilizing a CNTF active layer with MXene electrodes, finally demonstrating the non-destructive imaging capacities.
TiO2–NGQD composite photocatalysts with switchable photocurrent response
Authors: Lawrence Reece T. , Croxall Mark P. , Lu Cheng , Goh M. Cynthia
Published: January 2023

A series of titanium dioxide–nitrogen doped graphene quantum dot (TiO2–NGQD) composite photocatalysts were synthesized through a simple hydrothermal reaction with varied NGQD content.
Nanomaterial-based sonosensitizers: from exemplary design towards purposeful improvement
Authors: Liu Pai , Yang Tianyue , Li Yaning , Guo Jun , Li Shulan , Chen Hongli , Liu Yi
Published: January 2023

Advanced method to solve problems of tumor hypoxia and off-targeting in SDT: (1) transport O2 through nanocarriers, (2) utilize catalase or nanozymes to generate O2, (3) improve targeting efficiency by modifying and coating structure.
La2CoO4+δ perovskite-mediated peroxymonosulfate activation for the efficient degradation of bisphenol A
Authors: Zhong Xin , Wu Wenting , Jie Haonan , Jiang Fubin
Published: January 2023

In this study, the removal performance for BPA by PMS activated by the LCFO catalyst in a heterogeneous catalytic system was investigated.
Late-stage functionalization of 5-nitrofurans derivatives and their antibacterial activities
Authors: Chen Geshuyi , Chang Zhe , Yuan Pei , Wang Si , Yang Yongxiu , Liang Xiaolei , Zhao Depeng
Published: January 2023

Cu-catalyzed C–H late-stage functionalization were employed to modify 5-nitrofuran drugs. Compound 1 and 18 were the most active among all compounds, and the cell cytotoxicity assays were conducted.
Germanium hydrides as an efficient hydrogen-storage material operated by an iron catalyst
Authors: Kobayashi Yoshinao , Sunada Yusuke
Published: January 2023

Germanium hydride Ph2GeH2 can act as an efficient and reusable hydrogen-production/-storage material with the aid of iron catalysts. Hydrogen evolution from Ph2GeH2 as well as regeneration of Ph2GeH2 was realized at around room temperature.
Photo-controllable heterostructured crystals of metal–organic frameworksviareversible photocycloaddition
Authors: Huang Xin-Da , Hong Ben-Kun , Wen Ge-Hua , Li Shu-Hua , Zheng Li-Min
Published: January 2023

A layered dysprosium–dianthracene framework shows photo-switchable structures and emission colors, which enables the manipulation of MOF-based heterostructured crystals for applications in rewritable photonic barcodes and fatigue-resistant photoactuators.
Sleep-Based Memory Consolidation Stabilizes Perceptual Learning of Noise-Vocoded Speech
Authors: Drouin Julia R. , Zysk Victoria A. , Myers Emily B. , Theodore Rachel M.
Published: January 2023

Purpose:

Sleep-based memory consolidation has been shown to facilitate perceptual learning of atypical speech input including nonnative speech sounds, accented speech, and synthetic speech. The current research examined the role of sleep-based memory consolidation on perceptual learning for noise-vocoded speech, including maintenance of learning over a 1-week time interval. Because comprehending noise-vocoded speech requires extensive restructuring of the mapping between the acoustic signal and prelexical representations, sleep consolidation may be critical for this type of adaptation. Thus, the purpose of this study was to investigate the role of sleep-based memory consolidation on adaptation to noise-vocoded speech in listeners without hearing loss as a foundational step toward identifying parameters that can be useful to consider for auditory training with clinical populations.

Method:

Two groups of normal-hearing listeners completed a transcription training task with feedback for noise-vocoded sentences in either the morning or the evening. Learning was assessed through transcription accuracy before training, immediately after training, 12 hr after training, and 1 week after training for both trained and novel sentences.

Results:

Both the morning and evening groups showed improved comprehension of noise-vocoded sentences immediately following training. Twelve hours later, the evening group showed stable gains (following a period of sleep), whereas the morning group demonstrated a decline in gains (following a period of wakefulness). One week after training, the morning and evening groups showed equivalent performance for both trained and novel sentences.

Conclusion:

Sleep-consolidated learning helps stabilize training gains for degraded speech input, which may hold clinical utility for optimizing rehabilitation recommendations.
Attention‐based neural network for end‐to‐end music separation
Authors: Wang Jing , Liu Hanyue , Ying Haorong , Qiu Chuhan , Li Jingxin , Anwar Muhammad Shahid
Published: January 2023

The end‐to‐end separation algorithm with superior performance in the field of speech separation has not been effectively used in music separation. Moreover, since music signals are often dual channel data with a high sampling rate, how to model long‐sequence data and make rational use of the relevant information between channels is also an urgent problem to be solved. In order to solve the above problems, the performance of the end‐to‐end music separation algorithm is enhanced by improving the network structure. Our main contributions include the following: (1) A more reasonable densely connected U‐Net is designed to capture the long‐term characteristics of music, such as main melody, tone and so on. (2) On this basis, the multi‐head attention and dual‐path transformer are introduced in the separation module. Channel attention units are applied recursively on the feature map of each layer of the network, enabling the network to perform long‐sequence separation. Experimental results show that after the introduction of the channel attention, the performance of the proposed algorithm has a stable improvement compared with the baseline system. On the MUSDB18 dataset, the average score of the separated audio exceeds that of the current best‐performing music separation algorithm based on the time‐frequency domain (T‐F domain).
Backup protection with accelerating strategy based on fault control of modular multilevel converters in medium‐voltage direct current distribution network
Authors: Lv Wenxuan , Zheng Tao , Yang Yi
Published: January 2023

The medium‐voltage DC distribution network with multiple DC feeders is more cost‐effective when equipped with switches than DC circuit breakers. Under such conditions, the converters with fault‐handling capacity are blocked to clear the fault, which will cause the rapid disappearance of the fault current. Therefore, the primary protection has to pursue high speed at the expense of reliability, which threatens the network's safety. To construct a reliable protection system, backup protection with an accelerating strategy based on the fault control of converters is proposed. The current is controlled first by the fault control of converters to ensure the fault characteristics during backup protection. Then the DC switches on the healthy line are blocked by the polarity of the current integral, and the distribution network turns into the close‐loop mode to provide a fault current path. When the DC switches on the faulty line disconnect according to the predefined time delay, the current change time is recorded and thus the switches in the network are accelerated without communication. The proposed scheme only depends on the measured local current and the backup function still exists after acceleration. The effectiveness of the proposed scheme is verified in power systems computer aided design/electromagnetic transient including DC (PSCAD/EMTDC).
Correlation between activity indicators: Hα and Ca II lines in M-dwarf stars
Authors: Ibañez Bustos R. V. , Buccino A. P. , Flores M. , Martinez C. F. , Mauas P. J. D.
Published: January 2023

Context. Different approaches have been adopted to study both short- and long-term stellar magnetic activity, and although the mechanisms by which low-mass stars generate large-scale magnetic fields are not well understood, it is known that stellar rotation plays a key role.

Aims. There are stars that show a cyclical behaviour in their activity studied on the blue side of the visible spectrum, which can be explained by solar dynamo or αΩ dynamo models. However, when studying late-type dwarf stars, they become redder and it is necessary to implement other indicators to analyse their magnetic activity. In the present work, we perform a comparative study between the best-known activity indicators so far defined from the Ca II and Hα lines to analyse M-dwarf stars.

Methods. We studied a sample of 29 M stars with different chromospheric activity levels and spectral classes ranging from dM0 to dM6. To do so, we employed 1796 spectra from different instruments with a median time span of observations of 21 yr. The spectra have a wide spectral range that allowed us to compute the chrosmospheric activity indicators based on Ca II and Hα. In addition, we complemented our data with photometric observations from the TESS space mission for better stellar characterisation and short-term analysis.

Results. We obtained a good and significant correlation (ρ = 0.91) between the indexes defined from the two lines for the whole set of stars in the sample. However, we found that there is a deviation for faster rotators (with Prot < 4 days) and higher flare activity (at least one flare per day). For the individual analysis, we found that the indexes computed individually for each star correlate independently of the level of chromospheric emission and the rotation period.

Conclusions. There is an overall positive correlation between Ca II and Hα emission in dM stars, except during flare events. In particular, we found that low-energy high-frequency flares could be responsible for the deviation in the linear trend in fast-rotator M dwarfs. This implies that the rotation period could be a fundamental parameter to study the stellar activity and that the rotation could drive the magnetic dynamo in low-mass active stars.
Avant-propos
Authors: Blanc Wilfried
Published: January 2023

Les Nations Unies ont proclamé 2022 « Année internationale du Verre ». Ce numéro spécial de Reflets de la physique s’intéresse tout naturellement à ce matériau fascinant, le premier matériau transparent fabriqué par l’Homme et qui, aujourd’hui encore, confronte la physique moderne à des défis à la fois fondamentaux et technologiques.
Debt financing in a duopoly with asymmetric costs
Authors: Fang Lei , Zhao Sai
Published: January 2023

This paper examines the strategic use of debt financing in a quantity-setting duopoly with asymmetric costs. Before output competition (Cournot or Stackelberg) with demand uncertainty takes place, both firms can strategically choose to issue debt to commit to an aggressive output stance. We find that the strategic use of debt, serving as a commitment device, can help the disadvantaged firm (i.e., the high-cost firm in Cournot competition or the follower firm in Stackelberg competition) to leapfrog its superior rival in product market competition. Moreover, in light of the substitution between first-mover advantage and the commitment advantage of debt financing, when the order of firms’ moves in output is endogenously determined, in a sizable parameter region, there exists a Pareto-dominant equilibrium that the high-cost firm acts as the Stackelberg leader.
Bioelectronic devices for light-based diagnostics and therapies
Authors: Kim Han-Joon , Sritandi Weni , Xiong Ze , Ho John S.
Published: January 2023

Light has broad applications in medicine as a tool for diagnosis and therapy. Recent advances in optical technology and bioelectronics have opened opportunities for wearable, ingestible, and implantable devices that use light to continuously monitor health and precisely treat diseases. In this review, we discuss recent progress in the development and application of light-based bioelectronic devices. We summarize the key features of the technologies underlying these devices, including light sources, light detectors, energy storage and harvesting, and wireless power and communications. We investigate the current state of bioelectronic devices for the continuous measurement of health and on-demand delivery of therapy. Finally, we highlight major challenges and opportunities associated with light-based bioelectronic devices and discuss their promise for enabling digital forms of health care.
Engineering ZnO with Cu doping to lower the transition pressure: Experimental and theoretical investigations
Authors: Sharma Bharat Bhooshan , Chakraborty Brahmananda , Gohil Smita , Garg Nandini
Published: January 2023

Zinc Oxide (ZnO) is an n-type wide bandgap semiconductor. Doping of different elements in ZnO potentially affects its structural, optical and electronic properties. We have carried out high pressure angle dispersive x-ray diffraction and Raman scattering studies on Zn0.99Cu0.01O. We observed the substantial lowering of the transition pressure threshold from the wurtzite to rock salt phase compared to pristine ZnO. Experimental findings are also supported through computational data from density functional theory simulations. The charge transfer from a Cu atom in ZnO may be responsible for the reduction in the transition pressure threshold.
Comprehensibility improvements in integrated pronunciation instruction
Authors: Darcy Isabelle , Rocca Brian
Published: January 2023

Integration of pronunciation into content courses is appealing because of its potential in helping learners apply
their developing pronunciation skills in spontaneous speech. However, the effectiveness of pronunciation instruction (PI) when it
is integrated still needs to be demonstrated. This study evaluates whether a group receiving integrated PI (targeting
suprasegmentals) improved in controlled and spontaneous speech tasks, compared to a group who did not receive any specific PI. We
measured improvements as comprehensibility ratings and proportion of perceived word stress and vowel reduction errors. The results
show that integration appears to be beneficial overall, including in spontaneous speech tasks when comprehensibility is measured.
We interpret these findings considering the different tasks used and examine the contribution of the specific instructional
approach (form-focused with communicative contextualization) to the observed changes between pre- and post-test.
Final report on the key comparison CCAUV.A-K6
Authors: Rodrigues Dominique , Olsen Erling Sandermann , Llamas Osvaldo , Dobrowolska Danuta , Soares Zemar M Defilippo , Cho Wan-Ho , Hof Christian , Thomas Chris , Dickinson Laurence , Yamada Keisuke , Takahashi Hironobu , Nel Riaan , Hanes Peter , Sadıkoğlu Enver , Kolesov Sergey , Golovin Dmitrii
Published: January 2023

Main text

The key comparison CCAUV.A-K6 has been carried out under the auspices of the Consultative Committee on Acoustics, Ultrasound and Vibration (CCAUV) of the International Committee of Weights and Measures (CIPM). This comparison is concerned with primary pressure calibration of laboratory standard microphones type LS2P. The participating NMI's are HBK-DPLA (Denmark), CENAM (Mexico), GUM (Poland), INMETRO (Brazil), KRISS (Korea), LNE (France), METAS (Switzerland), NMIA (Australia), NMIJ (Japan), NMISA (South Africa), NRC (Canada), UME (Turkey) and VNIIFTRI (Russia). The role of Pilot laboratory was undertaken by LNE (France). The measurements took place between March 2019 and December 2020. Two LS2P microphones were circulated. This report includes the measurement results from the participants, information about their calibration methods, and the analysis leading to the assignment of the Key Comparison Reference Values (KCRV) and Degrees of Equivalence (DoE).

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.

The final report has been peer-reviewed and approved for publication by the CCAUV, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Performance investigation of a charge plasma tunnel FET with SiGe source pocket as a photosensor
Authors: Panda Shwetapadma , Dash Sidhartha
Published: January 2023

This study investigates a highly sensitive and low-power photosensor using a pocket-based charge plasma tunnel field-effect transistor (PCPTFET) structure for visible light detection. Here, zinc oxide, the transparent optical region over the channel, is the catalyst for the photo-sensing operation. When light strikes the sensitive portion of the device, creating optical charge carriers in the illumination region and substantially increases the device’s conductance. The analysis of various parametric and structural variations like intensity power density (Pj
), optical wavelength (λ), drain to source voltage (V
DS), incident angle (θ), and silicon body thickness (t
si) have been investigated for the reported pocket-based charge plasma TFET (PCPTFET) photosensor. Further, the PCPTFET’s superior performance as a highly sensitive photosensor is revealed by comparing the several optical figures of merit (FOM) with conventional tunnel field-effect transistor. The reported photosensor provides much-improved responsivity (R) of 1.52 A W−1 and quantum efficiency (η) of 4.96.
External magnetic field-assisted polarization-dependent optical bistability and multistability in a degenerate two-level EIT medium
Authors: Nguyen Tuan Anh , Nguyen Thi Thu Hien , Thai Doan Thanh , Le Van Doai , Dinh Xuan Khoa , Nguyen Huy Bang , Luong Thi Yen Nga , Hoang Minh Dong
Published: January 2023

In this paper, a novel degenerate two-level model is proposed to study the behavior of optical bistability (OB) and optical multistability (OM) under the effect of the magnetic field and relative phase. We show that the behavior of the OB can appear in the resonant regime by changing the strength of the external magnetic field. Especially, the result has shown that it is possible to easily convert between OB and OM by adjusting the strength of the external magnetic field or coupling field in the presence of the relative phase. In addition, the influence of the probe detuning and the atomic cooperation parameter on the OB behavior have also been considered. The studied results may be helpful for optical communication applications in optical switching processing and optimization.
Research on bus converter for SAR satellite composited bus system
Authors: Lu Zhiqi , Fang Ziwen , Dong Baolei , He Xiaobin , Huang Jun
Published: January 2023

The composite bus system is a new type of satellite power system, which is suitable for high-power SAR satellites. The bus converter in the compound bus system is very important. This paper analyzes the design requirements of the bus converter, selects PSM LLC as the topology of the bus converter, and verifies the rationality of the scheme through simulation.
Application and Research of the White Light Interferometer
Authors: Xue Liang , Hu Chang’an , Lv Fei
Published: January 2023

Surface topography measurement is the micro topography measurement of samples to be tested, which plays an important role in measuring white light interferometer. Taking the B3-shaped penetration test block for nondestructive testing and the profilometer standard ball for length measurement as the main research objects. The depth and width of crack defects in the penetration test block are measured and analyzed, the radius of the spherical groove on the reverse side of the penetration test block is measured and analyzed, and the spherical radius of the profilometer standard ball is measured and analyzed. The measurement results show that there is little difference between the radius measurement of the penetration test block and the theoretical value. The measurement of crack width and depth will contribute to the qualitative analysis of the crack, and the measurement of the profilometer standard ball provides a non-contact measurement means.
A novel method of emittance matching to increase beam transmission for cyclotron-based proton therapy facilities: simulation study
Authors: Maradia Vivek , Meer David , Weber Damian C , Lomax Antony J , Schippers Jacobus M , Psoroulas Serena
Published: January 2023

In proton therapy, high dose rates can reduce treatment delivery times, allowing for efficient mitigation of tumor motion and increased patient throughput. With cyclotrons however, high dose rates are difficult to achieve for low-energies as, typically, the emittance after the degrader is matched in both transversal planes using circular collimators, which does not provide an optimal matching to the acceptance of the following beamline. Transmission can however be substantially improved by transporting maximum acceptable emittances in both orthogonal planes, but at the cost of gantry angle-dependent beam shapes at isocenter. Here we demonstrate that equal emittances in both planes can be recovered at the gantry entrance using a thin scattering foil, thus ensuring gantry angle-independent beam shapes at the isocenter. We demonstrate in simulation that low-energy beam transmission can be increased by a factor of 3 using this approach compared to the currently used beam optics, whilst gantry angle-independent beam shapes are preserved. We expect that this universal approach could also bring a similar transmission improvement in other cyclotron-based proton therapy facilities.
Development of a large array of Silicon Drift Detectors for high-rate synchrotron fluorescence spectroscopy
Authors: Chen W. , Giacomini G. , Kuczewski A. , Mead J. , Rumaiz A.K. , Siddons D.P.
Published: January 2023

An array of small-area Silicon Drift Detectors (SDD), named Hera, has been developed at
Brookhaven National Laboratory (BNL) in the past few years. Its primary application is high-rate
spectroscopy at synchrotrons. Each SDD pixel is a 1 mm × 1 mm square to match the footprint of the
original diode-based pixel detector called Maia, which was developed for the same application. The
replacement of the diode with an SDD allows for better energy resolution at short shaping times
and an increased stability of the detector. 32, 96, and 384-channel arrays were designed and
fabricated and achieved a Full Width Half Maximum (FWHM) as low as 176 eV at 5.9 keV with peaking
time of 1 μs at -13°C. The sensor design, simulation, fabrication, its readout system, and its
spectroscopic performance are reported.
Future sea level rise dominates changes in worst case extreme sea levels along the global coastline by 2100
Authors: Jevrejeva Svetlana , Williams Joanne , Vousdoukas Michalis I , Jackson Luke P
Published: January 2023

We provide the magnitude of a worst case scenario for extreme sea levels (ESLs) along the global coastline by 2100. This worst case scenario for ESLs is calculated as a combination of sea surface height associated with storm surge and wave (100 year return period, the 95th percentile), high tide (the 95th percentile) and a low probability sea level rise scenario (the 95th percentile). Under these conditions, end-of-21st century ESLs have a 5% chance of exceeding 4.2 m (global coastal average), compared to 2.6 m during the baseline period (1980–2014). By 2100 almost 45% of the global coastline would experience ESLs above the global mean of 4.2 m, with up to 9–10 m for the East China Sea, Japan and North European coastal areas. Up to 86% of coastal locations would face ESLs above 3 m (100 year return period) by 2100, compared to 33% currently. Up to 90% of increases in magnitude of ESLs are driven by future sea level rise, compare to 10% associated with changes in storm surges and waves. By 2030–2040 the present-day 100 year return period for ESLs would be experienced at least once a year in tropical areas. This 100-fold increase in frequency will take place on all global coastlines by 2100.
A framework for nonrelativistic isotropic models based on generalized uncertainty principles
Authors: Herkenhoff Gomes André
Published: January 2023

The existence of a fundamental length scale in nature is a common prediction of distinct quantum gravity models. Discovery of such would profoundly change current knowledge of quantum phenomena and modifications to the Heisenberg uncertainty principle may be expected. Despite the attention given to this possibility in the past decades, there has been no common framework for a systematic investigation of so-called generalized uncertainty principles (GUP). In this work we provide such a framework in the context of nonrelativistic quantum mechanics. Our approach is based on very few assumptions: there is a fundamental length scale, space isotropy, invariance under parity and time reversal transformations, and symmetricity of the position and momentum operators. We show that simple dimensional analysis allows building a common framework for isotropic models based on GUP (we call those iGUP models). We discuss some popular GUP models in this context after elaborating on relevant theoretical aspects of the framework. At last, we translate current bounds on three often investigated GUP models into bounds on parameters of such common iGUP framework.
A Preliminary Result of Land subsidence Monitoring by Using Low-Cost GNSS in Bandung Basin
Authors: Shihran Reza S. , Gumilar Irwan , Sidiq Teguh P. , Bramanto Brian
Published: January 2023

Land Subsidence is one of the issues faced by major cities in Indonesia. The need for a land subsidence monitoring station that operates continuously is one of the most important aspects today. The current use of low-cost GNSS (Global Navigation Satellite System) is expected to help in dealing with this problem. This study aims to evaluate Low-Cost GNSS for monitoring land subsidence in Bandung Basin. The Measurement of Low-Cost GNSS using Chip-GNSS U-Blox (single frequency) and the microstrip antenna was assembled itself. The monitoring of land subsidence was carried out at one point(TK01) with an observation period from March 2021 to December 2021. The result of data processing shows the value of the coordinate standard deviation of the TK01 point during the measurement period ranges from ± 1.5 cm. The results of vertical component processing show the standard deviation in the vertical direction is ± 3.5 cm. The rate of land subsidence resulting from linear regression at the point of TK01 from March 2021 to December 2021 in this study was -13.9 cm/year with a standard deviation value of ±0.32 cm/year.
Asset Monitoring of Water Meters Using Integration of GIS and Low-Cost GNSS
Authors: Susanto L O F , Raharjo A B , Haq F
Published: January 2023

The high growth rate of the City of Surabaya increases the use of clean water services. The Regional Drinking Water Company (PDAM) of Surya Sembada, as the main provider of clean water in the city of Surabaya and its surroundings needs to carry out optimal asset management to maintain the expected level of service. In this study, an analysis of the condition of PDAM Surabaya’s assets will be carried out on a WebGIS platform that is connected to a database for optimal and sustainable PDAM water meter asset management. Location, water consumption history, and condition data of water meter assets from January to April 2022 are recorded using an Android-based GIS application that is connected to low-cost GNSS. The data recorded in the android application is integrated with WebGIS in real time for accurate positioning and cost-effective asset monitoring. Analysis of asset conditions will be carried out in the form of risk analysis to determine the risk of an asset in each service zone. The resulting data shows that zone 102, 104 and 105 was categorized as a very high risk zone for meter failure. This means, that there are a higher probability of a meter failure incident within that subzones
LiDAR DTM Application for Flood Inundation Modeling and Visualization (Case Study: Batu City, East Java)
Authors: Kholiq Ghozy Shalahuddin , Hidayat Husnul
Published: January 2023

LiDAR DTM has been widely used for simulating flood inundation from river overflows. This flood inundation simulation needs to be done as an alternative step in the flood control system and flood disaster mitigation to determine the estimated area affected by the flood. Flood simulation is a form of unsteady flow that is simulated with the HEC-RAS program that allows the user to perform one-dimensional steady flow, one and two-dimensional unsteady flow calculations, sediment transport/mobile bed computations, and water temperature/water quality modeling, and visualizes flooded areas and flood-affected areas using a geographic information system approach. Hydrological data is obtained from daily rainfall processing at the time of station rain. Hydrograph analysis was performed using the SCS CN model on the HEC-HMS software to estimate the flow rate and peak discharge. Watershed area, curve number, Impervious value, Initial Abstraction, and time lag are parameters that affect hydrograph analysis. From the results of the hydrograph analysis, the peak discharge of the model is 119.992 m2/s. Meanwhile, hydraulic analysis using HEC-RAS resulted in an inundation of 364 m2 which inundated three villages, namely Bulukerto, Bumiaji and Sidomulyo villages. The depth of the inundated area ranged from 0-15 m with an average depth of 4.534 m. The Sidomulyo area affected by the flood inundation scenario is 4,924 meters with an area of 0,02 ha. Bumiaji village was flooded with an area of 0,007 ha with a scenario of inundation depth of 4,049 m. Bulukerto village which was affected by the flood has an area of 20,972,832 m2 with a scenario of inundation depth reaching 4,343 m. Then some land cover such as residential land that is inundated by this flood simulation is 0,002 ha. Buildings from residential areas that were flooded reached 209 buildings. Then the area of agricultural land affected is 0,02 ha. In addition, there are also green open spaces affected by this simulation with an inundation area of 0,003 ha.
Analysis of The Effect of Large Population on Nitrogen Dioxide and Carbon Monoxide Levels in Java Island Using Sentinel-5P
Authors: Nugroho Rheza Tri
Published: January 2023

Java Island has the largest population and population density in Indonesia. One of the impacts that arise due to high population density is the high rate of pollution. This study focused on how to study air pollutants that occur in Java due to the high population density. Pollutants to be studied are nitrogen dioxide (NO2) and carbon monoxide (CO), which were taken based on observations from the Sentinel-5P. The results obtained in the population aspect indicate that the population density correlation coefficient value is higher than other aspects of the population, with R values respectively 0.526 for CO and 0.762 for NO2. NDBI (Normalized Difference Built-Up Index) and the number of vehicles were also added. It was found that NDBI at a district scale has a strong effect on increasing levels of NO2, but not with CO. Then, an analysis using the number of vehicles was also carried out. However, the results for both types of pollutants show no significant effect. An interesting fact obtained is that NO2 always has a higher correlation than CO when it meets all the variables that have been researched.
Analysis of Carbon Monoxide Relation with NDVI and Land Cover in Spatio-Temporal Perspective
Authors: Benedict
Published: January 2023

Java is the most populous island in the world. Data from BPS states that its population growth will reach 167,325,600 people by 2035. The population is directly proportional to the number of motorized vehicles, land use, and reduced vegetation cover. Hence, carbon monoxide increases as time goes by. Awareness about carbon monoxide is needed because CO is dangerous for human health. From several studies that have been carried out, several types of vegetation can reduce CO (carbon monoxide) pollutant levels to the maximum. Several studies conduct studies and analyses on plant estimates for CO pollutant absorption. Most of them analyzed the vegetation and carbon monoxide in a bio-chemical framework. This study was conducted to determine the relationship between CO and vegetation represented by NDVI from a spatio-temporal perspective. The study used CO data from Sentinel-5P for three years, NDVI, and land cover data from MODIS. From this research, NDVI and Carbon monoxide have an opposite relationship due to the correlation between both variables being -0.603. This result means NDVI and carbon monoxide have a strong negative correlation: the more vegetations exist, the less carbon monoxide content in the air.
Analysis of Land Cover Classification Results Using ANN, SVM, and RF Methods with R Programming Language (Case Research: Surabaya, Indonesia)
Authors: Putri Klarissa Ardilia
Published: January 2023

Remote sensing technology has experienced rapid development, especially in the field of image classification method. Image classification is to detect and identify objects on the earth’s surface using satellite images. Currently, various satellite image classification methods have been developed, one of which is a parameter-based classification method, such as MLC (Maximum Likelihood). However, this method cannot be performed in environments with complex object features (such as in urban areas or densely built areas). This is because the classification method based on the required parameters of the dataset is not normally distributed. Therefore, a non-parametric-based classification method has been developed that is independent of the nature of the data distribution, so that no statistical parameters are needed to separate many classes in the image and are used to analyse satellite images with dense and complex land cover features. Through this research, a comparative analysis of land cover classification was carried out using a non-parametric-based classification method with several Machine Learning approaches such as Artificial Neural Network, Support Vector Machine, and Random Forest for the Surabaya City area using Landsat-8 satellite imagery data, to find and compare their classification performance. Surabay awas chosen as the research area because it has complex land cover characteristics and is quite dense. The composition of the training points used is 80:20, which 80% points as sample points, and 20% as validation points. The land cover classification results in this study were tested for accuracy quantitatively and qualitatively. Based on the result from the accuracy test, the Random Forest method showed the best results with an overall accuracy value of 93.33% and a kappa accuracy of 91.07%.
Utilization of land use balance to determine sustainable food agricultural land (LP2B) based on land parcels (Case study: Margorejo District, Pati Regency)
Authors: Khrisnamurti Z B , Budisusanto Y , Deviantari U W
Published: January 2023

Based on the publication of the Detailed Spatial Planning (RDTR), it is necessary to prepare land use balance to overcome land-use problems, such as the land-use allocation that isn’t suitable with its planning. The existence of the Lorong Indah residential area in the middle of agricultural land of Margorejo Village is considered to have violated the Pati Regency Regional Regulation (Perda) Number 2 of 2021 which claims this area as a Sustainable Food Agriculture Area (KP2B). Land use balance data has an important role in the preparation of LP2B. This study aims to provide recommendations for potential LP2B based on land use balance information. Land use balance analysis used is the analysis of land-use suitability for KP2B and analysis of land availability for LP2B. The method used in the land use analysis is an overlay method between the land use balance data. The study result shows that the level of land-use suitability to KP2B is 96.25%. The land availability class is dominated by land that isn’t available for LP2B with an area of 718.37 ha out of 8,410 land parcels. The result of the LP2B recommendations is dominated by the non-recommended class with an area of 743.28 ha out of 9,173 land parcels due to the large number of land parcels that aren’t included in KP2B plan area. Efforts to control the conversion of agricultural land must continue to be improved, because this condition has great potential to cause rapid growth, so agricultural land conversion is also increasingly massive.
An Estimation of Underwater Sound Velocity using 3D Hydrodinamics Modelling in Madura Strait
Authors: Robbani Hilma Wasilah , Pratomo Danar Guruh
Published: January 2023

Madura Strait is one of the busy straits in Indonesia due to the existence of two international ports, Tanjung Perak and Teluk Lamong ports. In order to maintain safety of navigation in this region, bathymetric surveys has to be conducted regularly. The purpose of those survey is to maintain the depth of the shipping lanes and port pools. For that purpose, depth data from the acquisition process has to be corrected properly to obtain the deliverable depth in the nautical chart. One of the corrections that has to be applied is sound velocity correction. To do that correction, the speed of the acoustic wave propagation through the water column has to be collected using Sound Velocity Profiler. This study aims to model the underwater sound speed propagation which can be utilized to correct the measure depth. The study employed the Delft-3D FLOW module to develop a hydrodynamic model in baroclinic mode so the model can produces salinity, temperature, and pressure which vary spatially and temporally. By using these parameters, a near continuous sound velocity model in water column can be estimated using the empirical formula from Chen and Millero (1977). The sound speed value is validated using the Sound Velocity Profiler measurement. The validation was performed at 4 points, and shows a small difference between sound velocity from the model and measurement using RMSE calculation and estimated depth simulation. The RMSE has value between 0.003ms−1 and 0.064ms−1. Based on the estimated depth simulation, the difference between the corrected depth is 0.0005 to 0.001m. This can be claimed as an evidence that the sound velocity model from the study can be applied to get the corrected depth in Madura Strait.
The Evaluation of Land Cover Change of The Watershed Area Using ASTER Image
Authors: Hariyanto T. , Pribadi C. B. , Kurniawan A. , Hapsari H. H , Andriany N.
Published: January 2023

ASTER image is already widely used by various parties in various part of the world for the phenomena observation of the environmental changes. The image processing is supervised classification of maximum likelihood technique to produce land cover into 8 main classes. This study evaluate the changes in land cover in the Lesti’s sub-watershed where is a sub-watershed priority in the Brantas river’s watershed. The result of this study is the land cover change in the upstream area which approximately 1,314 km2 (4.65%) of forest area is converted to another type of land use and its dominated by dry-farm agricultural sector which is in particular farm and field. This is due to the large area of land cover for dry-land farming in 1999 which is approximately 78.198 km2 (31,77%) for the field and 61.844 km2 (25,13 %) for the farm while in 2009 is approximately 97.219 km2 (39,50%) for the fields and 49.421 km2 (20,08%) for the farm from the total land area. The dry-land farming is one of the most factor causing erotion and landslide.
Indonesian Regional Water Utility Company Optimum Pipe Route Planning Using Analytical Hierarchy Process and Cost Path Analysis (Case Study: Zone 1 to Zone 3 PDAM Service)
Authors: Luberta Sendi Khoirul Irham
Published: January 2023

Zone 3 Indonesian Regional Water Utility Company (PDAM) Surya Sembada Surabaya which including Semampir District, Kenjeran District, Simokerto District, and surroundings has lowest water pressure and water discharge compared to the other zones. This problem makes some areas in zone 3 lack of water. To minimize this problem, the company makes a plan to provide more water in zone 3 by installing a new distribution pipe. This paper purposes to make the most optimum pipe route using Analytical Hierarchy Process Method and Cost Path Analysis based on some criterion, which are slope, aspect, land-use, road network, river network, flood-prone area and soil types. Analytical Hierarchy Process (AHP) is used to get the weight of criterion and sub-criterion based on expert opinions. While cost path analysis is processed to load the most optimum pipe route based on the weight of all criterion. Based on AHP processing, the most important criterion is road network which has 44% influence. It is followed by land-use which has 22% influence. The other criterion have 4% - 10% influence in determining the most optimum pipe route. The processing of cost path analysis uses some end-points to get some pipe route options. The result shows some parts of pipe routes intersect with the settlement and do not parallel with road network. Because of those reasons, the pipe routes require to be modified.
Adaptation capacity of corn farmer’s to climate change: a case study in Pringsewu District, Lampung Province
Authors: Mutolib A , Nuraini C
Published: January 2023

Climate change has become a global phenomenon and impacts the sustainability of farming. Farmers are required to have the knowledge and capacity to deal with climate change. This study aims to analyze the level of adaptation capacity of farmers to climate change and the factors that affect the level of adaptation capacity of farmers to climate change. The research was conducted on corn farming in Pringsewu Regency, Lampung, from April to May 2022. The respondents were 30 farmers, and the data were analyzed using a qualitative approach. The results showed that farmers’ knowledge level in the research location on climate change is still low. Only 40% of farmers know about predicting climate change, and 46.67% are aware of accessible sources related to climate change. Farmers’ knowledge of other aspects of climate change (Forms of climate change, adaptation, and impact of climate change) was 53.33%, 63.33%, and 66.67%, respectively. Of the eight adaptation indicators, two are classified as high: the use of improved varieties and adjustment of planting time. Two indicators are categorized as medium, namely soil cultivation, and organic fertilizers, and four indicators are classified in the low category.