bluuebunny/crossref_metadata_2025 huggingface dataset:
BASECOL2023 scientific content
Authors: Dubernet M. L. , Boursier C. , Denis-Alpizar O. , Ba Y. A. , Moreau N. , Zwölf C. M. , Amor M. A. , Babikov D. , Balakrishnan N. , Balança C. , Ben Khalifa M. , Bergeat A. , Bop C. T. , Cabrera-González L. , Cárdenas C. , Chefai A. , Dagdigian P. J. , Dayou F. , Demes S. , Desrousseaux B. , Dumouchel F. , Faure A. , Forrey R. C. , Franz J. , García-Vázquez R. M. , Gianturco F. , Godard Palluet A. , González-Sánchez L. , Groenenboom G. C. , Halvick P. , Hammami K. , Khadri F. , Kalugina Y. , Kleiner I. , Kłos J. , Lique F. , Loreau J. , Mandal B. , Mant B. , Marinakis S. , Ndaw D. , Pirlot Jankowiak P. , Price T. , Quintas-Sánchez E. , Ramachandran R. , Sahnoun E. , Santander C. , Stancil P. C. , Stoecklin T. , Tennyson J. , Tonolo F. , Urzúa-Leiva R. , Yang B. , Yurtsever E. , Żóltowski M.
Published: December 2023

Context. The global context of making numerous data produced by researchers available requires collecting and organising the data, assigning meaningful metadata, and presenting the data in a meaningful and homogeneous way. The BASECOL database, which collects inelastic rate coefficients for application to the interstellar medium and to circumstellar and cometary atmospheres, meets those requirements.

Aims. We aim to present the scientific content of the BASECOL2023 edition.

Methods. While the previous versions relied on finding rate coefficients in the literature, the current version is populated with published results sent by the producers of data. The paper presents the database, the type of data that can be found, the type of metadata that are used, and the Virtual Atomic and Molecular Data Centre (VAMDC) standards that are used for the metadata. Finally, we present the different datasets species by species.

Results. As the BASECOL database, interconnected with the VAMDC e-infrastructure, uses the VAMDC standards, the collisional data can be extracted with tools using VAMDC standards and can be associated with spectroscopic data extracted from other VAMDC connected databases such as the Cologne database for molecular spectroscopy (CDMS), the jet propulsion laboratory molecular spectroscopy database (JPL), and the high-resolution transmission molecular absorption database (HITRAN).
Cold molecules in H I 21 cm absorbers across redshifts ∼0.1–4
Authors: Combes F. , Gupta N.
Published: December 2023

Absorption lines at high-redshift in front of quasars are quite rare in the millimeter (mm) domain. Only five associated and five intervening systems have been reported in the literature. Nevertheless, these discoveries provide very useful information that is complementary to emission lines, allowing, for instance, to distinguish between inflows and outflows. These lines are also good candidates for studying the variations of the fundamental constants of physics. Here we report the findings of our search for CO and other molecules in emission and absorption in front of a sample of 30 targets, comprising 16 associated and 14 intervening H I21 cm absorbers. The observations were made with the IRAM-30 m telescope simultaneously at 3 mm and 2 mm, exploring several lines of the CO ladder and HCO+, depending on the redshift. We detected eight targets in emission, of which five are new. The derived molecular gas masses range from 109to 7 × 1011 M⊙and the highest redshift detection (z = 3.387) corresponds to a relatively average-metallicity damped Lyman-αabsorber for this redshift. We also report four new detections in absorption. Two of the associated CO absorption line detections at high-redshift (z = 1.211 and 1.275) result from high-spatial-resolution follow-up observations with NOEMA. The disparity between the mm molecular and H I21 cm absorption lines for these and another intervening system detected in HNC atz = 1.275 is attributable to radio and mm sight lines tracing different media. We compare the atomic and molecular column densities of 14 known high-redshift (z > 0.1) molecular absorption line systems. The associated H Iabsorption lines are broad and exhibit multiple components, and the molecular absorption generally corresponds to the broader and weaker 21 cm absorption component. This indicates two distinct phases: one near galaxy centers with a larger CO-to-H Iabundance ratio, and another with lower molecular abundance in the outer regions of the galaxy. In comparison, intervening absorption profiles correspond primarily to H I-dominated gas structure in galaxy outskirts, except for gas at low impact parameters in gravitationally lensed systems. The comparison of interferometric and single-dish observations presented here shows that the detection of absorption requires sufficient spatial resolution to overcome the dilution by emission and will be an important criterion for mm follow-up of 21 cm absorbers from ongoing large-scale surveys.
Real-time RT-PCR high-resolution melting curve analysis to detect and differentiate Brazilian variants of grapevine viruses
Authors: Fajardo Thor Vinícius Martins , Peres Caio Antoniette , Nickel Osmar
Published: December 2023

Detecting and identifying viral infections in perennial plants, such as grapevines, can be challenging. Therefore, the aim of this study was to perform a real-time RT-PCR (RT-qPCR) high-resolution melting (HRM) curve analysis to detect and differentiate Brazilian variants of grapevine leafroll-associated virus 3 (GLRaV-3) and grapevine fanleaf virus (GFLV) in 74 and 10 infected plants, respectively, maintained in a collection block of grapevines. A single amplification curve was generated for each sample by RT-qPCR. Considering the amplified region of genomes of these two viruses, it was possible to identify and distinguish different variants of GLRaV-3 and of GFLV, which showed significantly different melting temperature (Tm) values between themselves, reflecting differences in the nucleotide sequences of the respective amplicons, and allowing discriminating variants and assess the viral diversity in grapevine accessions. The HRM analysis was validated by sequencing and nucleotide comparisons among Brazilian isolates of GLRaV-3 and GFLV.
Analysis of lightning vulnerability level in the City of Mataram and surrounding area using the simple additive weighting method
Authors: Azany Harits Muhammad , Suardi Iman , Marsono Agus , Ali Munawar , Prayitno Adi Suko
Published: December 2023

Mataram City, West Lombok and Central Lombok Regencies are areas that have a high level of infrastructure development. This high level of infrastructure development has indirectly increased the risk of lightning strikes in the city of Mataram and its surroundings. This study aims to determine the level of threat, susceptibility, and vulnerability to lightning strikes in the city of Mataram and its surroundings, and to find a correlation between the increase in land use as buildings and settlements with the increase in the number of lightning strikes. The lightning data was obtained from the monitoring results of the Mataram Geophysics Station in the 2017-2021 period which was processed using the Simple Additive Weighting method. From the processing results, the level of vulnerability to lightning in the very high category is in Selaparang and Mataram sub-districts. The results of the Pearson correlation calculation in an increase in the number of areas used as buildings and settlements to an increase in the number of lightning, obtained 14 districts with high Pearson correlation index values and 3 districts with very high Pearson correlation index values which included Batukliang, Sekotong, and Jonggat Districts.
Identification of communication behavior of internal stakeholders in pre-disaster construction projects: systematic literature review
Authors: Lalan Helny , Ophiyandri Taufika , Hidayat Benny
Published: December 2023

Project management to achieve successful performance is one of the efforts to increase capacity in disaster mitigation. Communication is an important indicator in increasing the success of construction projects. The implication of communication is that there is communication behavior between stakeholders that will influence project development. To find out the extent of research on communication behavior and how communication behavior occurs on construction projects before a disaster occurs is the aim of this research. Through a systematic literature review method using the keyword behavioral communication in project construction in a Google Scholar search and several selection stages. Ultimately 43 articles were reviewed for results and conclusions. From the identification results, it was found that research on communication behavior had not been widely studied and the most relevant topic regarding communication behavior was that the project manager was the actor who would influence the behavior of the project team. The type of communication that is widely researched is interpersonal communication. The potential for future research development is in the form of developing communication assessments at other stakeholder levels to minimize repetition of work on construction projects by paying attention to the variables 1) monitoring, 2) Management, 3) Challenging, and 4) Negotiation.
Unveiling the potential: preliminary result on an AI-based onsite earthquake early warning system deployment in Denpasar City
Authors: Rudyanto Ariska , Gho Danny , Tyastama Arief , Karyadi Dwi , Lin Pei-Yang
Published: December 2023

Due to Indonesia’s geographical location within the Pacific Ring of Fire, it is susceptible to earthquake occurrences. Therefore, the implementation of an Earthquake Early Warning (EEW) System is crucial to mitigate the impact of earthquakes. This study focused on deploying an on-site EEW system on Bali Island, an Indonesian region known for its elevated seismic activity. The study evaluated the system’s performance over five months in 2023. Throughout this observation period, the AI-based on-site EEW system successfully detected the earthquake’s P-wave before the occurrence of stronger seismic waves, such as the peak ground acceleration (PGA). It provided a warning time of up to 75 seconds and accurately predicted the intensity of the impending earthquake. These outcomes meet the fundamental requirements for an effective EEW system. The results obtained from the deployed AI-based on-site EEW system demonstrate the potential for wider implementation of such systems across Indonesia.
Comparative study of the simulation ground motion by amplitude scale and spectral matching
Authors: Kurniawandy Alex , Aminsyah Muhammad , Ulfah Cahyadi Belva , Djauhari Zulfikar
Published: December 2023

Dynamic analysis is more accurate than static analysis in determining a response of structure due to earthquake loads. The limitation of this analysis is the lack of recorded ground motion data of an earthquake for the entire territory of Indonesia. Therefore, according to the Indonesian Code, it is permitted to use seismic data from other locations that have similar seismic characteristics. In application, ground motions need to be modified to match the Indonesia design code. There are two modification methods, which are amplitude scaling and spectral matching. Thus, the purpose of this study is to determine the reliability of these two methods. As the result, the response spectra of the ground motion modified by the spectral matching method present a similar pattern to the target response spectra compared to the amplitude scaling method. Ground motions modified by the spectral matching method generate Peak Ground Acceleration (PGA) values almost the same as the target PGA values. In contrast, the modified motions with amplitude scaling provide diverse PGA values that are not the same as the target PGA. From this study, the utilization of the spectral matching method is recommended in modifying ground motion data for dynamic analysis.
Study of the sub-surface geological condition of the Sibalaya flow liquefaction using seismic refraction method
Authors: Pradnya Andika Putu , Tohari Adrin , Dani Wardhana Dadan
Published: December 2023

Understanding the occurrence of flow liquefaction requires knowledge of the sub-surface condition controlling its occurrence. This paper presents the results of seismic refraction surveys conducted to evaluate the sub-surface geological condition in the Sibalaya flow liquefaction area. From the interpretation of the seismic refraction model, an inclined boundary presents between the near-surface sediment layers. Further examinations of the SRT images demonstrate the existence of localized basinal structures in the rock layer with the highest P-wave velocity. The basinal structure may be associated with a hidden normal fault system of horst-graben structures. Thus, this study indicates that such a complex sub-surface geological structure also contributed to the Sibalaya flow liquefaction occurrence.
Immobilization of heavy metal contaminants in mining waste through enzyme-induced calcite precipitation biocementation
Authors: Makinda Jodin , Anuar Kassim Khairul , Sadiq Muhammed Abubakar , Uba Zango Muttaqa , Gungat Lillian
Published: December 2023

The presence of heavy metals affects the properties of soil due to a decrease in the dielectric constant, which increases the risk of contamination. Current conventional treatments are costly, slower, and environmentally unsustainable. Therefore, soil biocementation improvement using enzymatically induced calcium carbonate precipitation has gained attention due to its cost-effectiveness, sustainability, and environmental friendliness. This study investigates the effect of this technique on the retention and immobilization of heavy metal-contaminated mine waste sourced from Lohan Dam, Sabah, Malaysia, under different curing periods (1 and 3 days), degrees of compactions (70 and 80% of the maximum dry density), and curing temperatures (5 °C, 15 °C, and 25 °C) but at constant 1.0M cementation solution using inductively coupled plasma-optical emission spectrometry, acid washing test, and scanning electron microscopy. Results indicate that the treatment effect is immediate and able to increase the retention of heavy metals in the order of Ni> Cu > Pb, with the highest retention observed at 25 °C and higher retention at lower degrees of compaction. SEM images confirm the formation of calcite in soil particles. In conclusion, the optimum treatment conditions for a 1.0 M EICP cementation solution are 25 °C, 70% MDD, and 1-day curing.
Build back better and stronger the 2022 earthquake-damaged houses in Talamau–Pasaman Barat District
Authors: Menghoung Seng , Istijono Bambang , Anas Ismail Febrin , Noer Melinda , Fadli Zakir Rahmat
Published: December 2023

The earthquake on Friday, February 25, 2022, centered 18 km northeast of Simpang Empat city with a magnitude of 5.2 M, occurred at 08.35 WIT. After 4 minutes, there was a larger aftershock with a magnitude of 6.2 M. The earthquake that hit Nagari Malampah, Pasaman District and Nagari Kajai, Pasaman Barat District, which caused a number of people to die and minor, moderate to severe damage to people’s houses. Based on the large number of houses damaged, it is necessary to assess the vulnerability of buildings in Nagari Kajai. The vulnerability assessment was obtained from the results of building evaluations where the results of building vulnerability were in the moderate vulnerability category 47 houses and 53 houses with high vulnerability. Most of the vulnerability occurred due to community buildings that were not built according to building standards therefore it was necessary to educate the public on how to repair houses that meet house standards. This paper provides one solution to the community whose houses were damaged through community service activities which the Team carried out with training activities for retrofitting community houses that were moderately or lightly damaged and provided examples. Retrofitting houses is highly expected by the community.
Role of religious leaders as disaster risk communicators: a study in Peukan Bada District-Aceh
Authors: Wardhana M.R. Satria , Rahman Alfi , Oktari Rina Suryani , Nishi Yoshimi
Published: December 2023

Religious leaders in Aceh play a crucial role as trusted figures and sources of guidance within the community. After the devastating 2004 Indian Ocean tsunami, where many religious leaders themselves were victims, their influence has only grown. This study examines the role of religious leaders as disaster risk communicators in the Peukan Bada sub-district of Aceh Besar, 18 years after the tsunami. Through indepth interviews conducted with religious leaders and community members, a qualitative approach was employed to delve into their perspectives and practices. The findings reveal that religious leaders in Aceh predominantly employ a spiritual approach when communicating disaster-related messages. They interpret disasters as divine warnings resulting from human actions, rooted in the concept of cause and effect. Accordingly, they emphasize the significance of adhering to God's commandments and avoiding prohibited actions to prevent calamities. However, religious leaders are also receptive to conveying mitigation messages to bolster community resilience in the face of potential future disasters. Meanwhile, the community views the messages delivered by religious leaders as credible and trustworthy.
People's readiness to face water crisis disaster in Padang slump areas
Authors: Angelica Aulia Erid , Alfian Azyyati Ridha , Rahmah Septia Pristi
Published: December 2023

The record data show that 97, 93% out of 100% target have gained access to healthy drinking water in West Sumatra. Therefore, peoples' readiness to face water crisis disasters must improve to survive, leading to low disaster impact. This research aims to study peoples' readiness to cope with water crisis disasters in the higher degree category of Padang's slump areas. This research is a quantitative study in crosssectional study design. This research was done in December 2022-July 2023, with 35 people selected using proportional random sampling. The data were taken using interviews and questionnaires based on LIPI parameters consisting of the following indicators: knowledge and behavior, emergency plan, early warning system, and resource mobilization. The result shows 34. 3% of people have low readiness, 22. 9% have moderate readiness, and 42.9% have high readiness. Therefore, through General Work and Residence and Space Management, local government can collaborate with society, including people's education about water crisis disasters.
Performance of small reservoirs in Tulang Bawang Watershed for microhydro power plant
Authors: Kastamto  , Musa Sabariah , Pratiwi Dian , Hadie Muhammad Subhi Nurul , Samsudin Norsuhana , Radja
Published: December 2023

Recurring floods in the Tulang Bawang River have led to significant losses. In response, the government and local engineers have taken steps to manage flood events and harness excess water for electrical energy generation through the construction of five small reservoirs in the Tulang Bawang watershed. This study evaluates the performance of these reservoirs as micro-hydro power plants, with the aim of mitigating energy challenges in Lampung Province. To achieve this goal, we collected and analyzed hydrological data and calculated the potential electrical power output for each reservoir. By utilizing a 50- meter waterfall height, the sub-watersheds of Way Giham, Way Umpu, and Way Tahmi, with a combined water holding capacity of approximately 2 million cubic meters, are capable of generating around 3 MW of electrical power per reservoir. Similarly, Way Tuba and Way Basei sub-watersheds offer a potential of approximately 4 MW of electrical power per reservoir. Based on these calculations, it is evident that the small reservoirs in the Tulang Bawang watershed hold substantial potential for contributing to the electrical power supply, thereby addressing Lampung Province's energy challenges. These findings underscore the significance of utilizing available water resources to meet energy demands and promote sustainable development in flood-prone areas.
A preliminary results: study of crustal thickness in eastern part of Borneo, Indonesia from teleseismic receiver function analysis
Authors: Ariyanto Puji , Anfasa Imam Tanthawi , Sinambela Marzuki , Suardi Iman , Marsono Agus , Dzilfikra Muhammad Adli , Pranata Bayu , Margiono Relly , Ali Munawar
Published: December 2023

The island of Borneo has relatively low seismic activity. However, the plan to relocate the capital city to the East Borneo region could potentially increase the population, making the area more vulnerable to earthquake occurrences. Therefore, this research aims to determine the depth of the Mohorovičić discontinuity layer, which will provide insights into the thickness of the Earth's crust, and model the local P and S wave velocities using the Inversion, Migration, and Stacking H-k methods. The data used consists of earthquake events with magnitudes greater than 6, located within a distance of 30° to 90° from 6 BMKG stations around the new capital of Indonesia. The research results indicate that the depth of the Mohorovičić discontinuity layer varies between 28 and 43 km. The model of P-wave velocities varies between 1.8 km/s to 9.1 km/s, while the model of S-wave velocities ranges from 1.0 km/s to 5.1 km/s.
Economic value of ecosystem services
Authors: Ravi  , Putri Elsa Eka , Jayaprakash  , Hamidi Masyhuri
Published: December 2023

Ecosystem services are fundamental life-supporting services, which are essential for existence of life on this earth. Even though these services are complex and interdependent on each other, it is always considered as Free Services. Human beings are considered these services as “take it for granted, seemingly infinite and free” - like air purification, water cleaning, maintaining quantity of Nitrogen, Oxygen, Carbon, Sulphur, Water Cycle, balancing ambient temperature and providing fertility to soil for producing food. However, humans are less aware of the other ecosystems services provided by nature: viz pollination, dispersal of seeds, climate stabilization, flood protection, erosion prevention, decomposition, detoxification, maintenance of biodiversity, control of agricultural pests, and carbon sequestration etc.
Spatial rain probabilistic prediction performance using costsensitive learning algorithm
Authors: Saputra Agung Hari , Satya I. Made Agus , Sari Fitria Puspita , Mulya Aditya
Published: December 2023

The use of machine learning in weather prediction is growing rapidly as an alternative to conventional numerical weather prediction. However, predictions using machine learning such as Long Short Term Memory (LSTM) based on neural networks have weaknesses in predicting extreme events with a high ratio of unbalanced data. This research examines the performance of using focal loss in LSTM to obtain a machine-learning model that is cost-sensitive. The model used the Global Forecasting System Data and the Global Satellite Measurement of Precipitation for the years 2017-2020. Testing the hyperparameter configuration was carried out using the hyperband method on the number of nodes and the number of iterations with 3 scenarios (2, 3, and 4 classes). The results showed an increased performance against noncost sensitive LSTM with an average increase of 25% accuracy and 11% F1-score on 2 classes scenario, 15% accuracy increase and 21% F1-score for scenario 3 classes, as well as an increase in accuracy of 15% and F1-score 26% for scenario 4 class. It also provides the idea of how cost-sensitive properties can help machine learning models detect classes with extreme ratios, based on an increase in average performance as the number of classification scenarios increases.
Diagnosing of BLDC Motor Faults based on LSSVM Model and Vibration Signal
Authors: Djoko Susilo Didik , Ubaidillah  , Rio Prabowo Aditya , Hibatullah Djoko Susilo Anas
Published: December 2023

A BLDC motor is commonly used as the driver of an electric vehicle. So that this part becomes a critical component in the electric vehicle system. Any faults in the motor can cause the vehicle to not operate. Early detection of motor faults can avoid sudden motor failure. This paper aims to diagnose the possible faults in a BLDC motor using the least squares support vector (LSSVM) model. In this paper, the motor in normal condition and the motor with bearing, unbalance, and stator faults are examined. The vibration signals are measured from the BLDC motor operating at 430 rpm. The signals are captured at a 20 kHz sampling rate. The signals are smoothed using a moving average filter. The feature selection is based on the ability to segregate the different fault conditions through visual observation. The kurtosis and frequency centre value features are selected as fault predictors. The diagnosis process is performed by the classification of motor conditions using the LSSVM model. The model is built from the training data. The result shows that the LSSVM model performs very well in diagnosing BLDC motor faults. The diagnosis accuracy is 100%, both for training and testing data.
Public Sentiment Analysis to Support Indonesian Government Induction Stove Program
Authors: Dian Pratiwi Christia , Wulan Damayanti Retno , Widyo Laksono Pringgo
Published: December 2023

This research focuses on a comprehensive examination of public sentiment surrounding PT PLN's pilot project to convert LPG stoves to induction stoves. By conducting sentiment analysis, the study aims to understand public perspectives and opinions, identify improvement areas, and enhance the quality of future projects. The research framework includes data collection, preprocessing, and analysis, using four algorithms for sentiment classification: Naïve Bayes classifier, logistic regression, support vector machine, and K-nearest neighbor. The accuracy of these algorithms varied, with logistic regression achieving the highest accuracy at 70%. This study's preliminary results indicate public sentiment toward the PLN induction stove project, with 50% positive, 26% negative, and 24% neutral sentiments. Word cloud visualization was utilized to highlight significant words based on frequency. The research emphasizes leveraging sentiment analysis to drive positive changes and align projects with community expectations. Further research can explore factors influencing sentiment, strategies to address concerns, and the long-term impact of incorporating public sentiment in decision-making processes.
Towards a Sustainable Campus: Design and Evaluation of a Photovoltaic System for a Secondary School
Authors: Charles Jim , Lino Huayra-Armas Arnie , Atao-Rivas Yoel , Quispe-López Cesar , Michael Manuel , Justiniano-Medina Albert
Published: December 2023

The present work was developed to inform, experiment, raise awareness and disseminate information about renewable energy sources, specifically solar energy through the design of a photovoltaic system for a secondary-level educational institution in a district with development potential, which in a short time has been developed in all areas, but the lack of environmental awareness of its inhabitants forced us to take such an initiative since an academic identity must have an optimal environment for the well-being of its students and teachers, the incorporation of a photovoltaic system will not only contribute to this purpose but will also promote environmental awareness and responsibility by promoting the use of renewable and sustainable energy. The work demonstrates that it is possible to use solar energy as a source of pure, clean, and healthy energy for the use of different activities in a secondary education institution, such as entertainment, study, sports, technology, and science. The present work uses as its main support the Psis 7.2 photovoltaic installations simulation programme; this programme uses rheological and topographic data for better accuracy in data analysis. The results of this project could serve as a basis for other projects in this field since we believe that our contributions will be used for the greater good.
Managing the Material Flow in Textile and Clothing Closed-loop Supply Chain with Product, Material, and Energy Recoveries: A Conceptual Framework
Authors: Dwicahyani Anindya Rachma , Nyoman Pujawan I. , Widodo Erwin
Published: December 2023

The emerging era of fast fashion has broadened the issue of sustainability and post-consumer waste in the textile and clothing industry. Textile and clothing manufacturers carry out Reverse Logistics (RL) and Closed-loop Supply Chain (CLSC) operations to manage waste related to used garment products. This study reviews existing literature on RL and CLSC in the textile and clothing industry and develops a conceptual framework for material management. This study proposes a framework to manage the flow of material in CLSC with three recovery alternatives, i.e. product, material, and energy recovery. We suggest a CLSC model involving a textile manufacturer, garment manufacturer, fashion retailer, and MRF (Material Recovery Facility). We propose an RL scheme with 100% recovery and no disposal activity. The proposed model allows the CLSC system to recover waste into energy and utilise it as an alternative energy in the upstream supply chain. We discuss some of the model limitations along with its challenges for implementation.
Titanium Dioxide (TiO2) Doping Copper (Cu) with Annealing Temperature Variation as Photoanode for Dye-Sensitized Solar Cells (DSSC)
Authors: Hasna Ainun Nuurul Ma'rifah Enna , Supriyanto Agus , Paramitha Tika , Widiyandari Hendri , Purwanto Agus , Kasuma Kiwi Aliwarga Harry
Published: December 2023

Cu-doped Titanium Dioxide (TiO2) has been widely used as a DSSC photoanode material. The annealing temperature affects the structural analysis and optical properties of DSSC photoanodes. Structural analysis showed that the crystal size increased with increasing annealing temperature. The XRD results showed that the sample formed an anatase phase at annealing temperatures of 300℃ and 400℃, while at 450℃ and 500℃ there was an anatase-rutile mixed phase. The results of SEM morphology data obtained average particle diameters for CT300, CT400, CT450, and CT500 materials were 23.87 μm, 32.54 μm, 33.38 μm, and 37.63 μm respectively. UV-Vis testing shows absorbance in the ultraviolet region at 350-400 nm. Increasing the annealing temperature decreases the absorbance. The efficiency of DSSC compared to undoped materials is 0.44% to 0.71% in samples with an annealing temperature of 300℃ which is the sample with the highest efficiency. The efficiency value decreased with increasing annealing temperature.
Design and Challenges on mmWave Antennas: A Comprehesive Review
Authors: Pramono Subuh , Hamka Ibrahim Muhammad , Eko Sulistyo Meiyanto , Sutrisno  , Rahutomo Faisal , Hariyono Joko
Published: December 2023

Researchers are keen to continue developing and investigating millimeter wave spectrum bands because these bands potentially provide broadband bandwidth for extremely high data transfer rates. This paper presents a comprehensive review of the recent millimeter wave antenna development, especially for 30-40 GHz, 60 GHz, and 140 GHz, with their characteristics, limitations, and challenges. Several previous millimeter wave antennas are introduced, including their broadband bandwidth, gain, feeding technique, substrate, and beamwidth. Based on their measured performances show that the millimeter wave antenna has great potential to support realizing the extremely high transfer data rate in wireless communication systems.
Improved back propagation neural network method for predicting sulfur content in hot metal
Authors: Zhang Song , Gu Maoqiang , Zong Yanbing , Wang Zhenyang , Zhang Jianliang , Jiang Dewen , Pang Jing , Zhang Shushi , Si Ruishuai
Published: December 2023

Blast furnace smelting is a traditional iron-making process. Its product, hot metal, is an important raw material for the production of steel. Steelmaking efficiency can be improved and steel product quality can be stabilized by using proper hot metal. Sulfur is an important indicator reflecting the quality of hot metal, it is necessary to establish an accurate prediction model to predict the sulfur content of hot metal, to effectively guide the production process. There is a non-linear relationship among the factors influencing the desulfurization effect during the blast furnace smelting process, and the back propagation neural network (BPNN) model has a strong ability to solve nonlinear problems. However, BPNN has the disadvantages of slow convergence speed and easy to fall into local minima. To improve the prediction accuracy, an improved algorithm combining Kmeans and BPNN is proposed in this paper. The study showed that compared with the BPNN model and case-based reasoning (CBR) model, the Kmeans-BPNN model has the lowest RMSE and MAPE values, which indicates a high degree of fit and a low degree of dispersion. The Kmeans-BPNN model has the largest HR value, which indicates the highest prediction accuracy. The proposed Kmeans-BPNN prediction model achieves a hit rate of 96%, which is 4.5% higher than before the improvement. It can effectively improve the prediction accuracy of hot metal sulfur content.
Oil palm plantation systems are at a crossroads
Authors: Rival Alain , Chalil Diana
Published: December 2023

The future of most tropical sectors is clouded by growing constraints linked to, among many other parameters, climate change, price volatility and labour scarcity. Perpetuating agricultural systems inherited from the colonial era (a time of abundant arable land, protected markets, and cheap and disciplined labour) will not be enough to prepare these sectors in facing immediate crucial challenges unless substantial structural transformations are made.

Implementing a successful agroecological transition in a 70-billion USD sector, covering 25 million ha worldwide, calls for drastic changes in mind-sets and practices. The key issue is no longer simply to increase productivity, but to foster innovations designed to support endangered tropical biodiversity, while providing a decent living for shrinking agricultural communities in the Global South.

Agroforestry practices have a role to play in providing substantial climate change mitigation with an impact comparable to other climate-focused solutions, such as reforestation. The expected contribution of oil palm-based agroforestry relies on agro-environmental services, as basic agricultural functions such as soil preservation, pollination, or pest control can be ensured by living organisms inside and around the plantation. Diversified systems are able to achieve both economic and environmental gains, as they use land more efficiently than monocultures. Building on regenerative agriculture, new plantation designs are emerging and deserve to be thoroughly assessed to establish evidence-based advocacy for change.
Some results on statistics and functional data analysis
Authors: Dabo-Niang Sophie , Ah-Pine Julien , Llop Pamela , Yao Anne-Francoise
Published: December 2023

This paper presents some recent results on regression and classification in Functional Data Analysis setting. The first work decated to Multiple kernel SVM for classifying functional data in Sobolev spaces focus on optimization of the information from each derivatives of the original functions, the second work devoted to An input/output-based aggregation rule for functional data classification when the last is interested with the problem of regression if the functional data lives in a finite dimensionnal submanifold.
Dynamical systems approaches to the study of climate with applications to 2022 extreme weather events
Authors: Faranda Davide
Published: December 2023

Between 1980 and 2020, extreme weather and climate change events have caused, in Europe, up to 520 billion euros in economic losses, according to a 2022 report released by the European Environment Agency. Many weather extreme events such as heatwaves, droughts, tropical cyclones and cold spells will change in frequency and/or intensity due to the ongoing anthropogenic climate change, driving our planet to unprecedented threats. From a theoretical point of view, such extreme events are difficult to characterize because they are rare and they do occur at specific spatiotemporal scales of the dynamics, not necessarily the largest or the smallest of the climate system. Their study requires a framework capable of tracking their probability of occurrence, predictability and persistence. In this manuscript I will describe how dynamical systems theory helps in building numerical and theoretical tools for weather extreme events, using recurrences of patterns termed analogues. These tools can be used to study whether climate change do already affect the dynamics of extremes. Three recent examples will be analysed in details, namely the Argentinian heatwave, the Greek cold spell and the windstorm Malik, all occurred in January 2022.
Wave propagation in random media: beyond Gaussian statistics
Authors: Garnier Josselin
Published: December 2023

In this paper we review some aspects of wave propagation in random media. In the physics literature the picture seems simple: for large propagation distances, the wavefield has Gaussian statistics, mean zero, and second-order moments determined by radiative transfer theory. The results for the first two moments can be proved under general circumstances by multiscale analysis. The Gaussian conjecture for the statistical distribution of the wavefield can be proved in some propagation regimes, such as the white-noise paraxial regime that we address in the first part of this review. It may, however, be wrong in other regimes, such as in randomly perturbed open waveguides, that we address in the second part of this review. In the third and last part, we reconcile the two results by showing that the Gaussian conjecture is restored in randomly perturbed open waveguides in the high-frequency regime, when the number of propagating modes increases.
Fredrickson–Andersen model in two dimensions
Authors: Hartarsky Ivailo , Martinelli Fabio , Toninelli Cristina
Published: December 2023

The present article overviews recent mathematical advances on the Fredrickson–Andersen kinetically constrained spin model in two dimensions. It was introduced in physics as a toy model for recovering the glassy phenomenology in supercooled liquids close to the glass transition via dynamic constraints as opposed to static interactions.
Potenzielle Chancen und Herausforderungen des neuen
interdisziplinären Schwerpunkts Ernährungsmedizin in der
Schweiz
Authors: Gyger Angela , Tribolet Pascal
Published: December 2023

Einleitung Die Ernährung hat heutzutage aus verschiedenen
Gründen einen hohen Stellenwert, weshalb die wissenschaftlich fundierte
Ernährungsmedizin gefördert werden sollte. Deshalb wurde von der
Gesellschaft für Ernährungsmedizin und Metabolismus Schweiz
(GESKES) der neue interdisziplinäre Schwerpunkt
Ernährungsmedizin geschaffen. Welche Praxiserfahrungen konnten bisher
gesammelt werden? Was sind Wünsche bezüglich der
interprofessionellen Zusammenarbeit? Welche Chancen und Herausforderungen
bestehen durch den neuen Titel? Diesen Fragen wurde im Rahmen einer
Bachelor-Thesis nachgegangen.

Methodik Mittels qualitativer Forschungsmethode wurden sechs
halbstandardisierte Einzelinterviews mit je drei Personen der
Ernährungsberatung und Ernährungsmedizin aus insgesamt drei
Deutschschweizer Spitälern durchgeführt.

Ergebnisse Beide Berufsgruppen erachten insbesondere die Steigerung von
Ernährungskompetenzen seitens Ärzteschaft als Chance des
Schwerpunkttitels, um die Behandlungsqualität zu optimieren. Zudem
bietet der Titel die Möglichkeit, der Ernährung mehr Anerkennung
zu verschaffen. Als wesentliche Herausforderungen des Schwerpunkts gelten die
Implementierung der Ernährungsmedizin, welche in den Institutionen
individuell geregelt wird und die Befürchtung von Kompetenzverlusten.
Beide Berufsgruppen wünschen sich in Zukunft geregelte Prozesse und
einen Austausch in übergeordneten Gremien der Schweiz, um gemeinsam den
Einsatz des Titels weiterzuentwickeln.

Schlussfolgerung Der interdisziplinäre Schwerpunkt ist bis anhin
sowohl bei der Berufsgruppe der Ernährungsberatung als auch bei der
Ernährungsmedizin weitgehend auf positive Resonanz gestossen und scheint
zu einer Stärkung des Stellenwerts der Ernährung beizutragen.
Grossflächigere Erhebungen sind notwendig, um weitere Erfahrungen von
Institutionen zu erfassen und darauf ausgerichtet Prozessabläufe
auszuarbeiten sowie konkrete Empfehlungen bezüglich der Implementierung
des Titels abzugeben.
Standardized vs. Relative Intensity in CrossFit
Authors: Oliver-López Alejandro , García-Valverde Adrián , Sabido Rafael
Published: December 2023

CrossFit is characterized by being a standardized training program that improves
physical performance through the provision of several stimuli regardless of the
participant’s strength level. This study aimed to compare the acute
response in total repetitions as a measurement of performance, jump ability,
physiological demand (heart rate and blood lactate), and perceived effort
considering the participants’ strength level with individualized
intensity in CrossFit. Thirty-five participants were assessed and asked to
participate on two separate days in a standardized and relative ‘As Many
Repetitions As Possible’ (AMRAP) CrossFit circuit. Both AMRAPs comprised
strength, gymnastic and aerobic exercises, although only strength was
individualized according to the participant’s level. Before the
statistical analysis, participants were allocated to higher- or lower-strength
groups following the one-repetition maximum-bodyweight ratio in the push press
exercise. Results support the existence of a strong relationship between
strength level and total repetitions in both AMRAPs. In addition, differences in
total repetitions and rate of perceived exertion between strength groups are
discarded when AMRAP intensity is individualized while physiological demand and
jump ability are maintained. Thus, the higher-strength participants may benefit
from similar responses with a lower number of repetitions. Therefore, CrossFit
trainers should be encouraged to prescribe strength tasks based on the
percentage of 1RM for every training.
Endoscopic spray cryotherapy for dysphagia palliation in esophageal cancer: Systematic review and meta-analysis
Authors: Gopakumar Harishankar , Khan Hamza , Sharma Neil , Puli Srinivas Reddy
Published: December 2023

Background and study aims Endoscopically delivered liquid nitrogen spray cryotherapy is reported to be a safe and possibly more effective strategy for dysphagia palliation in patients with advanced esophageal cancer. This systematic review and meta-analysis aimed to pool all available data to evaluate the impact of this treatment modality.

Methods Electronic databases (PubMed, Embase, and Cochrane Library) from January 2005 through June 2023 were searched for studies evaluating endoscopically delivered liquid nitrogen spray cryotherapy for dysphagia palliation in patients with advanced esophageal cancer. Pooled proportions were calculated using random-effects (DerSimonian-Laird) model.

Results From an initial 895 studies, data were extracted and analyzed from five studies comprising a total of 230 patients that met inclusion criteria. In this pooled analysis, dysphagia improved or did not deteriorate in 81.40% of patients (95% confidence interval [CI] 73.75–87.99). Significant improvement in dysphagia was reported by 55.19% of patients (95% CI 29.62–79.37). An alternate method of dysphagia palliation despite spray cryotherapy was required in 18.78% of patients (95% CI 8.09–32.63) with 10.56% (95% CI 2.53–23.18) requiring esophageal stents. The weighted mean number of spray cryotherapy sessions per patient was 3.37 (95% CI 2.55–4.18). The pooled major adverse event rate was 3.26% (95% CI 0.15–10.14).

Conclusions Endoscopic liquid nitrogen spray cryotherapy can effectively and safely treat dysphagia in esophageal cancer. It can be considered an option for dysphagia palliation in centers with expertise and equipment.
Low Molecular Weight Supramolecular Allobetuline-, Cyclohexanol-, or Undecanol-Appended 1,2,3-Triazole-Based Gelators: Synthesis and Molecular Dynamics Simulation Study
Authors: Lipson Victoria , Zhikol Oleg , Shishkina Svetlana , Semenenko Alexander , Kulyk Karina , Mateychenko Pavel , Musatov Vladimir , Mazepa Alexander , Vakula Vladimir , Borisov Alexander , Kyrychenko Alexander
Published: December 2023

Three novel isomeric supramolecular allobetuline-appended 1,2,3-triazole-based potential gelators and two model compounds with cyclohexanol or undecanol fragments in the structure instead of the triterpenoid platform were synthesized. Their ability to form gels in different solvents was studied experimentally and computationally by molecular dynamics simulations and quantum chemical calculations. We found that the gelling ability of such compounds is driven by the binding energy of intermolecular tail substituent interactions. The less significant factor is the molecule unfolding in a solvent, providing that the gelling substance is actually soluble. Preferred unfolded conformations were identified by classical molecular dynamics simulation and suggested the most prospective 1,2,3-triazole-based potential gelators.
Circulating Cytokines and Venous Thromboembolism: A Bidirectional Two-Sample Mendelian Randomization Study
Authors: Hu Teng , Su Pengpeng , Yang Fangkun , Ying Jiajun , Chen Yu , Cui Hanbin
Published: December 2023

Background Epidemiological evidence has linked circulating cytokines to venous thromboembolism (VTE). However, it remains uncertain whether these associations are causal due to confounding factors or reverse causality. We aim to explore the causality between circulating cytokines and VTE, encompassing deep vein thrombosis (DVT) and pulmonary embolism (PE).

Methods In the current bidirectional Mendelian randomization (MR) study, instrumental variables of 41 circulating cytokines were obtained from the genome-wide association study meta-analyses (8,293 individuals). Summary statistics for the association of VTE (17,048 cases and 325,451 controls), DVT (8,077 cases and 295,014 controls), and PE (8,170 cases and 333,487 controls) were extracted from the FinnGen Study. A multivariable MR study was conducted to adjust for potential confounders. The inverse-variance weighted method was employed as the main analysis, and comprehensive sensitivity analyses were conducted in the supplementary analyses.

Results The MR analysis indicated stromal cell-derived factor-1α was suggestively associated with a reduced risk of VTE (odds ratio [OR]: 0.90; 95% confidence interval [CI]: 0.81–0.99; p = 0.033) and DVT (OR: 0.85; 95% CI: 0.75–0.97; p = 0.015). In addition, suggestive association of granulocyte colony-stimulating factor with PE (OR: 1.20; 95% CI: 1.06-1.37; p = 0.005) was observed. Multivariable MR analysis showed that the effect of cytokines on VTE was partly mediated through hemoglobin A1c and systolic blood pressure. Reverse MR analysis revealed that VTE was linked to decreased levels of several cytokines.

Conclusion We provide suggestive genetic evidence supporting the bidirectional causal effect between circulating cytokines and VTE, highlighting the importance of targeting circulating cytokines to reduce the incidence of VTE.