bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonuniformity of diffractive splitting and transmitter–receiver alignment for large-field-of-view hundred-beam-scale LiDAR
Authors: Hou Jia , Zhao Zhonghao , Peng Zhiqiang , He Zhiping 
Published: May 2024

Abstract

To meet the spatial perception requirements for autonomous ship navigation in common scenarios such as ocean navigation, port entry and exit, and lock passage, commercial vehicle-mounted LiDAR technology falls short of demands in aspects such as sensing distance, field of view, angular resolution, and spatial sampling density. This paper proposes a hundred-beam-scale LiDAR scheme based on large-field-of-view diffractive beam splitting and a fiber array for echo reception and presents an in-depth investigation of the angular nonuniformity of diffractive beam splitting and the microradian-scale alignment for such hundred-beam-scale large-field-of-view LiDAR. This paper considers a combination of split-beam transmission based on a high-order diffractive optical element (DOE) and echo reception based on a high-precision fiber-optic line array. The nonlinear angular characteristics of the DOE are deduced and analyzed for a large field of view. The units of the receiving fiber-optic array are designed to offset the influence of the angular nonlinearity of the DOE, ensuring high-precision receiver–transmitter alignment of the hundred-beam-scale LiDAR for beams at any order of diffraction and helping to reduce system errors. The above-described LiDAR system has undergone laboratory testing and practical engineering verification, and it provides a new optical solution for LiDAR systems at the hundred-beam scale with a large field of view, a small divergence angle, and high sampling density. The presented system achieves a registration accuracy of 66.5 µrad with 128 beams and a 10-degree field of view, greatly improving signal reception efficiency. Such LiDAR systems have a wide range of applications, including space docking, target identification, lunar and planetary exploration, and ground-based vehicle-mounted LiDAR.
Simple Sequence Repeats (SSR) marker-based analysis on the genetic variation and population structure of local and exotic sorghum germplasm collection conserved ex-situ in Sri Lanka
Authors: Kaluthanthri D. V. S. , Perera S. A.C.N. , Dasanayaka P. N. 
Published: May 2024

Abstract

Sorghum (Sorghum bicolor (L.) Moench) is one of the most important cereal crops occupying the fifth position based on the cultivated extent among the cereal crops in the world. Characterization of genetic resources is a pre-requisite for utilization of conserved genetic resources in breeding programmes and cultivation. The present study was carried out to reveal the genetic variation and population structure of local and exotic sorghum germplasm collection conserved in ex-situ seed gene bank at the Plant Genetic Resources Centre, Sri Lanka. Total genomic DNA was extracted from 60 germplasm accessions using CTAB miniprep DNA extraction protocol. A two-step PCR amplification was performed at 16 Simple Sequence Repeat (SSR) loci. Four differentially labeled PCR products were multiplexed and size-fractioned using capillary electrophoresis. Data analyses were performed using GeneMapper 4.0, OSIRIS, PowerMarker 3.25, Structure 2.2 and STRUCTURE HARVESTER. The 16 SSR loci recorded polymorphism and the dendrogram revealed four distinct clusters. The optimum number of subpopulations was three in addition to two admixture subpopulations. The revealed population structure did not depict the geographical origin of the germplasm accessions. The present study confirmed that the majority of local sorghum germplasm accessions tested were genetically distinct. Varying degrees of outcrossing selfing in subsequent generations may have led to the creation of novel sorghum genotypes at global level.
Novel Quinolone substituted 1,3,4-oxadiazole derivatives: Design, synthesis, antimicrobial and anti-inflammatory potential
Authors: Sharma Vishal , Das Rina , Mehta Dinesh Kumar , Sharma Diksha 
Published: May 2024

Abstract

A novel series of quinolone-substituted 1,3,4-oxadiazole derivatives 4(a-l) have been designed and synthesized. The target compounds were investigated for their antibacterial activity against gram positive (Staphylococcus aureus, ATCC 25923, Enterococcus faecalis, ATCC 29212) and gram negative bacterium (Escherichia coli, ATCC 25922, Pseudomonas aeruginosa, ATCC 27853) for antifungal activity using candida albicans (ATCC 10231) and anti-inflammatory activity as COX-II inhibitors, respectively. The 1,3,4-oxadiazole functionality was introduced at C-6 position of pipemidic acid derivatives. The structure of synthesized derivatives was confirmed by IR, 1H NMR and Mass spectrometry techniques. The quinolone (pipemidic acid)-oxadiazole hybrid derivatives were found to be effective against bacterial strains. When compared to ciprofloxacin (MIC 16 µg/mL), the compounds under consideration (4f, 4h, and 4k) showed potent antibacterial activity against all bacterial strains except Enterococcus faecalis, with MICs of 8 µg/mL. On the other hand, synthesized target compounds (4a–l) did not respond well against the Candida albicans fungal strain. The compound (4k) represents the high % inhibition against COX-II. The compounds (4f, 4h & 4k) exhibited the highest hydrogen bonding interaction with ARG57, ARG72, ARG78, LEU54 and MET16 target residues with a binding energy of -8.4, -8.6 & -8.5 kcal/mol into the active pocket of DNA gyrase enzyme respectively even better in comparison to reference ligands. Based on the docking study, the quinolone (pipemidic acid) oxadiazole hybrid structural ligands exhibited strong interaction at binding pockets of DNA gyrase enzyme.
A Carbon Black-Doped Chalcopyrite-Based Electrochemical Sensor for Determination of Hydrogen Peroxide
Authors: Ma Tingting , Wang Yue , Gu Yuxuan , Hasebe Yasushi 
Published: May 2024

Abstract

A simple, rapid, economical and non-enzymatic electrochemical sensor for sensitive determination of hydrogen peroxide (H2O2) was developed based on a physical combination of carbon black (CB) and pure chalcopyrite modified glassy carbon electrode (GCE). Field emission scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), electrochemical impedance, cyclic voltammetry and steady-state amperometric methods were used to evaluated the morphology and electrochemical performance of the modified electrode. The H2O2 sensor showed good sensitivity, reproducibility and practical usage. In the range of 0.1 ~ 100 mM, the peak current has a good linear relationship toward the concentration of H2O2, with the detection limit (S/N = 3) of 0.04 mM by using amperometry method. Both linear range and sensitivity of the prepared sensor were enhanced through the combination of chalcopyrite and CB. The results show that the synergistic effect of CB and chalcopyrite can improve the electron transfer rate and accelerate the electrochemical catalytic reaction.
SHaSTA: An Open-Source Simulator for Human and Swarm Team Applications
Authors: Manjunatha Hemanth , KrisshnaKumar Prajit , Distefano Joseph P. , Jani Apurv , Behjat Amir , Ghassemi Payam , Chowdhury Souma , Dantu Karthik , Esfahani Ehsan T. 
Published: May 2024

Abstract

Human-swarm teaming combines the dynamic capabilities of robot swarms with the strategic cognition of humans to perform complex tasks. As robotic systems and unmanned vehicles gain enhanced autonomy, there is an imperative need for for a human-in-the-loop simulation framework to study both human action/cognition as well as swarm behaviors and their interaction within operational contexts. Such a framework is essential for developing and testing the coordination of human supervisor and robotic swarms with different level of autonomy and exploring the role of machine learning in enhancing their collective behaviors beyond basic functionalities. This paper introduces SHaSTA(Simulator for Human And Swarm Team Applications), a versatile, open-source simulation platform designed to advance research in swarm learning and human-swarm interaction. SHaSTA offers a comprehensive interface that allows both human operators and machine learning algorithms to direct and refine swarm tactics and behaviors. The platform incorporates a range of functionalities, including individual robot controls, swarm behavior primitives like formation control and path planning, and customizable interfaces for defining novel behavioral primitives. A standout feature of SHaSTA is its capability to integrate and synchronize physiological data from human operators with robotic swarm simulations. This integration provides a deeper understanding of human factors in swarm control and enhances the simulation’s realism and applicability. We demonstrate SHaSTA’s effectiveness and scalability through a case study in a search-andrescue scenario, showcasing its computational efficiency and the practical benefits of its human-swarm interaction model. Additionally, we present findings from our human subject study that illustrate how SHaSTA effectively captures and utilizes physiological features to inform and improve human-swarm interaction strategies.
Measurement Uncertainty and Flagging Performance Evaluation of Sysmex XN-1500 Analyzer in an Accredited Laboratory in West Africa
Authors: Dibbasey Mustapha , Mamudou  , Sarfo Francess , Begum Rosyna , Umukoro Solomon 
Published: May 2024

Abstract

Background/Objective
assess measurement uncertainty (MU) of enumerating main haematological indices using Sysmex XN-1500 analyser and flagging performance characteristics of the analyser.
Methods
We calculated standard MU from each possible sources of error to obtain expanded MU at a 95% level of confidence. We employed the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Milan model and the biological variation model from the EFLM database to verify that our expanded MU values were within allowable performance specifications (APS). MU was preceded by evaluating the flagging performance of the analyser.
Results
The MU of hemoglobin, red blood cells, haematocrit, white blood cells, and platelets generated by the Sysmex XN-1500 platform falls within the allowable APS defined by the established model. Further, we found no statistically significant differences (Mann-Whitney-U-Test, p-value = 0.2188) when the MU results for all the haematological indices obtained from our internal quality control data were compared with the external quality assurance proficiency testing results (reference method). The MU values for all the haematological indices were comparable between the Sysmex XN-1500 analyser and the existing Abbott platform (Mann-Whitney U Test, P = 0.12). The overall flagging performance of the Sysmex XN-1500 platform was excellent when compared to the gold-standard peripheral blood film examination (PBF) results, except for iRBC? Q-flags, as all iRBC? Q-flags were confirmed as false flags by PBF examination.
Conclusion
The MU of main haematological indices using the Sysmex XN-1500 analyser falls within the allowable APS. The flagging performance of the Sysmex XN-1500 was poor in detecting RBC inclusions.
Systematic Literature Review on early detection of Postoperative Delirium in Patients with Cardiovascular Disease
Authors: Othman Saleh Mohammed Alhaj , Aziz Mohammed Ali Ali , XU Qin 
Published: May 2024

Abstract

Background
Postoperative delirium (POD) is a cognitive decline and attention deficit that can occur in patients after cardiac surgery. Despite extensive research identifying risk factors, POD often goes undiagnosed and untreated in medical settings.
Method
This systematic literature review (SLR) aims to summarize studies on early POD identification in patients following cardiovascular surgery. Data was obtained from Scopus, PubMed, and the Cochrane International database.
Results
Seven examined studies highlight high-risk variables (individual characteristics, underlying diseases, treatment methods) and typical symptoms as crucial components for early POD diagnosis. However, diagnostic criteria and evaluation methodologies need to be more consistent, and there is no consensus on the most efficient early detection approaches.
Conclusion
The findings underscore the need for standardized diagnostic criteria and evaluation methods for early POD detection in cardiovascular surgery patients. Evidence-based recommendations are necessary to enhance early diagnosis and treatment of POD in this population.
Penerapan Choreography Message Broker Untuk Transaksi Data Berbasis Asynchronous RESTful
Authors: Imanuel Desendo , Rini Maria Nila Anggia , Susanto Budi 
Published: May 2024

Saat ini, rumah sakit yang berada di bawah Yayasan Kristen untuk Kesehatan Umum (YAKKUM) menjalankan sistem informasi secara independen yang berarti masing-masing rumah sakit membangun dan mengelola sistem informasinya secara mandiri tanpa adanya keterlibatan secara sistematis dengan rumah sakit lainnya. Hal tersebut memicu munculnya sifat heterogen pada data sehingga diperlukannya integrasi data. Pada aplikasi skala enterprise, masalah integrasi antar komponen sistem aplikasi akan bertambah seiring dengan meningkatnya kebutuhan dan kompleksitas aplikasi tersebut. Salah satu cara mengatasi hal tersebut adalah mengimplementasikan middleware dengan pendekatan choreography sebagai media penengah antar service. Sistem mengimplementasikan Axon Server sebagai message broker yang dikonfigurasi dengan event handler dengan mode tracking processor. Setiap service memiliki database masing-masing yang didukung dengan penerapan infrastruktur menggunakan Docker. Sistem diuji berdasarkan skenario pengujian keandalan transaksi data antar service pada roll back atau compensating transaction, choreography, dan event consumption. Hasil pengujian menyatakan semua skenario pengujian berhasil diuji bahkan ketika service melakukan reboot di tengah-tengah proses pengujian. Di samping itu, pengujian dengan unit test, component test, integration test berhasil menyelesaikan 46 kasus tes per 46 total kasus tes pada User Service dan 27 kasus tes per 27 total kasus tes pada Auth Service. Namun, hasil pengujian juga menunjukkan adanya kejanggalan atau bug saat memproses transaksi data berbasis saga pattern.
An eco-friendly and facile method for oil–water separation using the bio-Zn oxide-based superhydrophobic membrane
Authors: Beagan A. , Elakany A. S. , Yang Z. , Mohamed M. E. 
Published: May 2024

ABSTRACT

This manuscript presents a novel approach for developing an environmentally friendly and effective oil–water separation membrane. Achieving a superhydrophobic (SH) coating on textile fabric (TF) involved a two-step process. Initially, the surface roughness was enhanced by applying bio-zinc oxide (ZnO) nanoparticles obtained from Thymbra spicata L. Subsequently, the roughened surface was modified with stearic acid, a material known for its low surface energy. The bio-ZnO nanoparticles exhibit a circular morphology with an average size of 21 nm. The coating demonstrated remarkable mechanical stability, maintaining SH properties even after an abrasion length of 300 mm. Chemical stability studies revealed that the prepared membrane retained SH properties within a pH range of 5–11, which ensures robust performance. Absorption capacity measurements showcased different capacities for n-hexane (Hex), corn oil (C.O), and silicone oil (S.O), with consistent performance over 10 absorption–desorption cycles. High oil–water separation efficiencies were achieved for hexane, C.O, and S.O, emphasizing the coating's versatility. Flux rate measurements demonstrated that oil passed through the membrane efficiently, with the highest flux observed for Hex. The prepared SH membrane has superior mechanical and chemical stability and high separation efficiencies, which positions it as a promising candidate for diverse industrial applications.
Description of Some Methodologies for the Synthesis of 1,4-Naphthoquinone
Derivatives and Examples of their Biological Activity: A Review
Authors: Loredo-Carrillo Silvia E. , Leyva Elisa , López-López Lluvia Itzel , Navarro-Tovar Gabriela , de Loera Denisse , Vega-Rodríguez Sarai 
Published: May 2024

Abstract:
An alternative to finding new drugs for the treatment of various diseases is the
chemical modification of the structure of compounds of natural origin. Among them, naphthoquinones
are very interesting candidates, as they are antibacterial, antifungal, antiparasitic,
and anticancer agents. Naphthoquinones are redox compounds that can accept one or two
electrons, generating reactive oxygen species in the cell and producing cell apoptosis. Naphthoquinones
are unsaturated compounds containing a dicarbonyl sequence in the para position,
which is highly reactive. Several studies of the chemical modification of naphthoquinones,
either of natural origin (such as lapachol or juglone) or synthetic origin, have demonstrated
the great importance and versatility of this type of compound. Polyhydroxylated
derivatives, amino, thioethers, and conjugated heterosystems (indole or pyrrole groups)
have been synthesized. Depending on the type of derivative, their specific use against certain types of microorganisms
or cancer cell lines has been demonstrated.
Recent Advancement in the Development of Detection and Removal of Heavy Metal Ions by Deep Eutectic Solvents: A Review
Authors: Al-Saidi Hamed M. , Khan Sikandar 
Published: May 2024

:
Heavy metal pollution is one of the most serious environmental problems, because of the
non-degradable nature of heavy metals and their accumulation in the food chain, which poses a severe
threat to the environment and human health even at low concentrations. Most of these metal
ions can coordinate with biological molecules and disturb their function. Exposure to heavy metals
can cause different health threats such as endothelial dysfunction, allergy, infant mortality, cancer,
neurological diseases, respiratory diseases, oxidative stress, cardiovascular disorders and kidney
diseases. Therefore the detection and removal of these toxic species are very important. Deep eutectic
solvents (DESs) are green solvents and have excellent applications in many fields. They contain
nonsymmetrical ions that have low lattice energy, low vapor pressure, dipolar nature, nonflammability,
low volatility, low melting points, excellent thermal and chemical stability and high
solubility. DESs are also better in terms of the availability of raw materials, easy synthetic procedure,
low cost of their starting materials and their easy storage. DESs have an excellent ability for the detection
and removal of heavy metal ions. In this review, we discussed various DES-based spectrophotometric
and fluorimetric chemosensors for the detection of heavy metal ions in different matrixes.
Additionally, we have also explored the capabilities of different DESs in removing heavy metals.
A Polyacrylate Cotton-based Pipette Tip Micro-solid-phase Extraction
Technique Coupled with High-performance Liquid Chromatography for
Carvedilol Determination in Aqueous Media
Authors: Poryan Golchin , Noori Maedeh , Talebpour Zahra , Aboul-Enein Hassan Y. 
Published: May 2024

Introduction:
In this work, a polyacrylate polymer was synthesized into a pipette tip containing cotton fibers and used to extract carvedilol from water and urine samples.

Methods:
A high-performance liquid chromatography-ultraviolet detection method was developed,
which demonstrated the suitability of the purposed pipette tip micro-solid-phase extraction device.
Factors affecting the fabrication procedure and polymer quality were studied and optimized. In the
next step, the sample preparation process (including extraction and desorption) was fully optimized,
and the optimized method was validated.

Results:
A coating with suitable mechanical and chemical stability was achieved. Its structure was
successfully characterized by Fourier transform infrared spectroscopy and scanning electron microscopy. Within-batch and between-batch fabrication reproducibility were obtained at 3.0 and 9.0 %,
respectively. The developed method displayed a limit of detection of 1.1 µg L-1 when 1.5 mL of
sample was processed, and it was linear in the concentration range of 3.3-350 µg L-1 with LLOQ of 5
µg L-1
. The polyacrylate cotton-based pipette tip was finally used to extract carvedilol from aqueous
media with acceptable recoveries of 92-106%.

Conclusion:
The proposed method is simple and fast and requires low sample volumes. In addition,
this method has been evaluated in terms of greenness with three different tools, and the evaluation
results with all three tools have shown that this method is one of the green and environmentally
friendly methods.
THE INFLUENCE OF THE MATERIAL TYPE ON THE RESERVOIR AIR PRESSURE IN THE KNIFE TOOL HEATING FURNACE
Authors: Wijaya Ikhlasul Amal , Hermawan Rudi , Firizal Harlin , Ramadhan Anugrah Agung 
Published: May 2024

A reservoir is a vessel or storage container used to store pressure resulting from the evaporation of a liquid. In its use, the Reservoir's constituent material must be good to produce maximum results. This experimental research aims to study the influence of the reservoir material types, such as aluminum, steel, and stainless steel, on the air pressure produced by each material[R1] . The experiment was conducted by aluminium, steel, and stainless steel material testing. The results showed that aluminum, steel, and stainless steel produce a pressure of 2.00 bar, 2.50 bar, 1.50 bar, respectively.. The comparison of results shows that the type of reservoir material will affect the final result of reservoir pressure.
Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study
Authors: Yue Qi-Xuan , Ding Ruo-Fan , Chen Wei-Hao , Wu Lv-Ying , Liu Ke , Ji Zhi-Liang 
Published: May 2024

Background
Adverse drug reactions (ADRs), which are the phenotypic manifestations of clinical drug toxicity in humans, are a major concern in precision clinical medicine. A comprehensive evaluation of ADRs is helpful for unbiased supervision of marketed drugs and for discovering new drugs with high success rates.

Objective
In current practice, drug safety evaluation is often oversimplified to the occurrence or nonoccurrence of ADRs. Given the limitations of current qualitative methods, there is an urgent need for a quantitative evaluation model to improve pharmacovigilance and the accurate assessment of drug safety.

Methods
In this study, we developed a mathematical model, namely the Adverse Drug Reaction Classification System (ADReCS) severity-grading model, for the quantitative characterization of ADR severity, a crucial feature for evaluating the impact of ADRs on human health. The model was constructed by mining millions of real-world historical adverse drug event reports. A new parameter called Severity_score was introduced to measure the severity of ADRs, and upper and lower score boundaries were determined for 5 severity grades.

Results
The ADReCS severity-grading model exhibited excellent consistency (99.22%) with the expert-grading system, the Common Terminology Criteria for Adverse Events. Hence, we graded the severity of 6277 standard ADRs for 129,407 drug-ADR pairs. Moreover, we calculated the occurrence rates of 6272 distinct ADRs for 127,763 drug-ADR pairs in large patient populations by mining real-world medication prescriptions. With the quantitative features, we demonstrated example applications in systematically elucidating ADR mechanisms and thereby discovered a list of drugs with improper dosages.

Conclusions
In summary, this study represents the first comprehensive determination of both ADR severity grades and ADR frequencies. This endeavor establishes a strong foundation for future artificial intelligence applications in discovering new drugs with high efficacy and low toxicity. It also heralds a paradigm shift in clinical toxicity research, moving from qualitative description to quantitative evaluation.