bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensitivity and vulnerability to summer heat extremes in major cities of the United States
Authors: Li Xiaojiang , Wang Guoqing , Zaitchik Benjamin , Hsu Angel , Chakraborty Tirthankar 
Published: June 2023

Abstract
Many cities are experiencing more frequent extreme heat events during summer because of the global temperature rise and the urban heat island effects. Yet, how the rising temperature impacts urban residents differently is still not clear. Here we leveraged urban microclimate modeling to map the Universal Thermal Climate Index (UTCI), a more complete indicator of human heat stress at an unprecedentedly fine spatial resolution (1 m) for 14 major cities in the United States. We also examined the sensitivity and vulnerability to summer heat across different socioeconomic and racial/ethnic groups in these cities, finding that income level is most consistently associated with heat stress. Results show that a hypothetical 1 ºC increase in air temperature would have a substantial impact on human heat stress, with impacts that differ across cities. The results of this study can help us better evaluate the impact of extreme heat on urban residents.
A Hole Plate for Measuring Parametric and Volumetric Errors of a Four-Axis Coordinate Measuring Machine
Authors: Hsieh Tsung-Han , Lin Ming-Xian , Yeh Kuan-Ting 
Published: June 2023

Abstract

Recently, a four-axis coordinate measuring machine, which consists of three linear axes and a single rotary axis, has been more widely used than a traditional three-axis coordinate measuring machine. The volumetric error influences the accuracy of the four-axis coordinate measuring machine. 27 parametric errors contribute to the volumetric error. This study proposes a new methodology to analyze the parametric and volumetric error of the four-axis coordinate measuring machine using a hole plate. First, the hole plate setup sequentially in three different planes. We measured the hole plate by using five different styluses. Second, 27 parametric errors were analyzed using the coordinate deviations. The volumetric error was constructed using the homogeneous transform matrixes. The volumetric error ranges were from 0.35 µm to 1.55 µm and from 0.35 µm to 2.83 µm without and with the single rotary axis. Third, three commercial instruments, namely a laser interferometer, an autocollimator, and a polygon-autocollimator, were used to validate the proposed methodology to verify the measured parametric errors. The absolute maximum differences, compared with the laser interferometer for three parametric positioning errors and the autocollimator for six parametric rotational errors for the three linear axes, were 0.56 µm and 0.54", respectively. Moreover, the absolute maximum difference of one parametric positioning error for the single rotary axis, comparing with the polygon-autocollimator, was 0.75". The En-values were 0.27, 0.54, and 0.27, respectively. The results demonstrate the proposed methodology's effectiveness and reliability to the industry's four-axis coordinate measuring machines.
Liver iron overload and fat content analyzed by Magnetic resonance contributes to evaluate the progress of chronic hepatitis B
Authors: Luo Jinni , Liu Zhenzhen , Wang Qian , Tan Siwei 
Published: June 2023

Abstract
Background
Chronic hepatitis B (CHB) and its complications still play a major role in liver-related mortality. It has been indicated that hepatic iron and steatosis may have an effect on liver fibrosis and carcinogenesis. This study aimed to access the liver iron and fat in chronic hepatitis B patients by MRI, to estimate the correlations among liver iron, fat and the severity and progress of liver fibrosis.
Methods
In this retrospective study, we enrolled patients with CHB consecutively from 2018 to 2020. Liver iron and fat content were accessed by MRI, which was measured as liver iron concentration (LIC) and proton density fat fraction (PDFF).
Result
340 patients were included in this study. For LIC, the median value was 1.68 mg/g, elevated LIC was seen in 122 patients (35.9%). For liver fat content, the median value of PDFF was 3.1%, while only 15.0% patients had liver steatosis (PDFF ≥ 5%). Age, total bilirubin and sex were independent predictive factors of liver iron overload (OR = 1.036; 1.005; 10.772). A higher platelet count (OR = 1.006) and no portal hypertension (OR = 0.366) independently predict liver steatosis. The AUC of PDFF for identification of liver cirrhosis estimated by different non-invasive tools ranged from 0.629 to 0.704.
Conclusion
Iron overload was common in CHB patients, especially in those with older age, male and high total bilirubin level. Liver steatosis was less common in CHB. Liver iron and fat content analyzed by MRI may contribute to evaluate the severity and progress of CHB.
Red Drum Salinity Tolerance: Comments on Ackerly et al. “Short-Term Salinity Stress During Early Development Impacts the Growth and Survival of Red Drum (Sciaenops ocellatus)”
Authors: Conway Annaleise , Pauwels Stan , Edwards Melanie , Fontenot Lance , Palachek Randy 
Published: June 2023

Abstract
Technical Communications do not have an Abstract.
A systematic algorithm to compute hazardous area extent for two-phase releases based on an improved low-dimensional (simple) dispersion model
Authors: Araujo Antonio C. B. , Anjos Deborah A. , Neto Antonio T. P. , Alves Jose J. N. , Silva Sidinei K. , Luiz Aurelio M. 
Published: June 2023

Abstract
This contribution aims at systematically determining the extent of classified areas in two-phase releases of pure components. To this end, a novel algorithm is proposed to ensure all proper steps are taken towards accurately computing the required properties of the resulting cloud. The intended framework is based on a refined one-dimensional dispersion model that accommodates (i) the influence of the vapor component on the energy balance of the two-phase jet model, (ii) new decay constants to calculate velocity, concentration, and temperature profiles, (iii) a new normalization ratio to compute the temperature along the centerline, and (iv) a new correlation for the entrainment coefficient in the two-phase region. Altogether, these modifications produced results that are in very good agreement with (scarce) experimental data available in the literature. The hope is that this simple algorithm can predict within reasonable precision the reach of the hazardous cloud in open field situations.
Synthesis and luminescence properties of Eu3+-activated Mg3(PO4)2 phosphors and substitution of phosphate with Molybdate, Tungstate and Sulphate
Authors: Dhiman Dheeraj J. , Parauha Yatish Ratn , Chourasia Ashish B. , Dhoble S. J. 
Published: June 2023

Abstract
In the present work, trivalent europium (Eu3+) ion activated Mg3(PO4)2 red phosphors have been synthesized through solid-state reaction method. X-ray diffraction (XRD) confirmed the successful formation of Mg3(PO4)2:Eu3+ phosphors with monoclinic phase (space group P21/c (14). The photoluminescence (PL) spectroscopy was used to record the excitation and emission spectrum of Eu3+ activated Mg3(PO4)2 phosphor. The resulting samples displayed the typical emissions of Eu3+ ions corresponding to the 5D0 → 7FJ transitions when excited at 395 nm. A 0.5 mol% Eu3 + ion doping concentration was found to be ideal. The best concentration of Eu3+ ions for doping was discovered to be 0.5 mol%. The CIE coordinates of Eu3+ activated Mg3(PO4)2 phosphor is calculated, which shows strong red emission. In addition, phosphate group replaced with molybdate, tungstate and sulfate group and found enhancement in emission intensity of prepared phosphors. The outcomes showed that the Eu3+-activated Mg3(PO4)2 phosphors are excellent red-emitting phosphors for use in white LEDs that are driven by near-ultraviolet light.
Research on novel matching topology and characteristics of rotary ultrasonic machining system with inductive contactless power transmitter
Authors: Ren Kun , Li Hua , Xie Ou , Wei Dong , Wei LI , Dai Chenwei , Yuan Julong 
Published: June 2023

Abstract
The rotary ultrasonic vibration machining is of great advantage in the precision and high efficient machining for hard to machine materials, and is being increasingly applied. In the rotary ultrasonic vibration machining system with inductive contactless power transmitter (ICPT), the inductance of ICPT and its impedance matching with the ultrasonic generator have a great influence on the output power and the efficiency of the system. A new matching topology with C-C double matching capacitance series-parallel on the primary side of transmitter is proposed in this paper. Based on the theoretical analysis, the model of the bilateral resonance of a rotating ultrasonic vibration machining system with C-C double matching capacitance series-parallel matching topology is established, and the matching capacitance calculation method are proposed. The experimental results show that the system can achieve an ideal bilateral resonance after being matched with the calculated C-C double-matching capacitance. The power transmission and load characteristics of the new system have been further studied theoretically and experimentally. It is concluded from the study that the transmission and load characteristics of the system changes with the self-inductance and mutual inductance of the inductive contactless power transmitter under the condition of bilateral resonance. When the self-inductance of primary side is of the same value with that of the secondary side, the system exhibits the excellent comprehensive transmission performance. The results are of great significance to the optimization and engineering application of the rotary ultrasonic vibration machining system.
Balanced segmentation of CNNs for multi-TPU inference
Authors: Villarrubia Jorge , Costero Luis , Igual Francisco D. , Olcoz Katzalin 
Published: June 2023

Abstract
In this paper, we propose different alternatives for CNN (Convolutional Neural Networks) segmentation, addressing inference processes on computing architectures composed by multiple Edge TPUs. Specifically, we compare the inference performance for a number of state-of-the-art CNN models taking as a reference inference times on one TPU and a compiler-based pipelined inference implementation as provided by the Google's Edge TPU compiler. Departing from a profiled-based segmentation strategy, we provide further refinements to balance the workload across multiple TPUs, leveraging their co-operative computing power, reducing work imbalance and alleviating the memory access bottleneck due to the limited amount of on-chip memory per TPU. The observed performance results compared with a single TPU yield super-linear speedups and accelerations up to 2.60x compared with the segmentation offered by the compiler targeting multiple TPUs.
Numerical simulation of arc characteristics in K-TIG welding
Authors: Song BaiYu , Dong Bolun , Cai XiaoYu , Lin SanBao 
Published: June 2023

Abstract

K-TIG welding is a highly efficient welding technique that enables full penetration to be achieved with a single pass, without the need for groove preparation or wire filling. Comprehending the distinct arc characteristics of K-TIG welding is the cornerstone for exploring the metallurgical process, heat, and mass transfer phenomena, and serves as a guide for design considerations. In this study, 2D numerical models of arc plasma in K-TIG welding were established. The arc characteristics of the keyhole state and non-penetrated state were compared, while the influence of welding parameters on arc characteristics was further investigated. Finally, the calculated arc pressure was validated by experiments. Results show that the electric potential gradient in the arc column decreases after the keyhole forms, while the temperature increases at the center of the anode surface and decreases on both sides away from the arc center. Higher welding currents and smaller tungsten tip angles will lead to an increase in the temperature and velocity of arc plasma. As the tungsten tip height increases, the arc temperature increases on both sides but decreases in the arc center, and the pressure in the inner wall of the keyhole shrinks.
Automated imaging coupled with AI-powered analysis accelerates the assessment of plant resistance to Tetranychus urticae
Authors: Złotkowska Ewelina , Wlazło Anna , Kiełkiewicz Małgorzata , Misztal Krzysztof , Dziosa Paulina , Soja Krzysztof , Filipecki Marcin , Barczak-Brzyżek Anna 
Published: June 2023

Abstract
The two-spotted spider mite (TSSM), Tetranychus urticae, is one of the most destructive piercing-sucking herbivores, infesting more than 1,100 plant species. The TSSM has evolved a broad tolerance to different plant xenobiotics, influencing its flexibility to adapt to multiple host plants and pesticides. At the same time, the effective resistance loci in plants are still unknown. To find out more about plant-mite correlation, novel approaches are required allowing the efficient screening of large, genetically diverse populations of two interacting species. Here we propose an analytical pipeline based on high-resolution imaging of infested leaves and an artificial intelligence-based computer program, MITESPOTTER, for analysis of plant susceptibility. Our system precisely identifies and quantifies eggs, feces and damaged areas on phenotypically differentiated leaves. The new method was tested on 14 TSSM-infested Arabidopsis thaliana ecotypes derived from diverse world locations and showing remarkable differences in the listed symptoms. The proposed method also demonstrated the ecotype variation in the mite preference to the age of leaf and egg distribution on the ab/adaxial leaf surface. The presented analytical pipeline can be adapted to different pest and host species facilitating diverse experiments with a high number of specimens such as the screening of a large segregating population of plants leading to the identification of loci for efficient breeding of TSSM-resistant plants.
Association between antibiotics use and the risk of attention deficit hyperactivity disorder in infants: a Real-World Evidence Study
Authors: Lin Chih-Kang , Tseng Ya-Chun , Hsu Hsing-Yu , Tsai Tung-Han , Huang Kuang-Hua 
Published: June 2023

Abstract
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Recently, infants using antibiotics showed an increased incidence of neurodevelopmental disorders. The purpose of this study was to investigate the association between antibiotics use and the risk of ADHD in infants. In this population-based retrospective cohort study, the Taiwan National Health Insurance Research Database was used to collect data of infants. Prevalence of antibiotics use was analyzed in the infants (age, < 2 years) included in this study. The risk of developing ADHD was estimated using the Cox proportional hazards model. After controlling for other related influencing factors, infants who used antibiotics had a 1.12 times higher risk of ADHD than those who did not. The risk of ADHD increased through using penicillin and cephalosporin regardless of the duration of antibiotics use. Therefore, antibiotics use in infants—especially penicillin and cephalosporin— was associated with a higher risk of ADHD.
Surgical Management of Gastric Cancer With a History of Liver Transplantation: Case Report
Authors: Alabdallat Belal , Tamam Selim , Culcu Serdar , Unal Ali 
Published: June 2023

AbstractRationale: The number of solid organ transplants has increased worldwide. Liver transplantation is an effective treatment of end-stage liver disease and some selected malignancies. The increased life expectancy has resulted in an increase in comorbidities after transplantation, including de novo malignancies. Gastric cancer after a liver transplant is not prevalent. In this case report, we report the case of a patient who presented with gastric cancer after liver transplantation.Patient concerns: Our patient is a 62-year-old male patient who received liver transplantation three years ago. About 36 months after transplantation, the patient presented with upper gastrointestinal bleeding.Diagnosis: A decision was taken to do upper gastrointestinal endoscopy, which revealed a 5-centimeter tumour on the greater curvature. A biopsy of the tumour was done, and the histology revealed Adenocarcinoma.Interventions: The patient underwent open total gastrectomy with D2 dissection and esophagojejunal anastomosis.Outcomes: The postoperative period of the patient was uneventful, and the patient was discharged after 10 days.Lessons: The mainstay of treatment of gastric cancer in recipients of liver transplantation is gastrectomy with D2 dissection. Prompt diagnosis and surgical management are required to treat these patients, and during the perioperative period, the immunosuppressive medications should be continued to prevent graft rejection.
Cost-effectiveness and outcomes of robot-assisted vs laparoscopic bariatric procedures in super obese patients: a propensity score matching analysis from a high- volume center
Authors: Marincola Giuseppe , Procopio Priscilla Francesca , Pennestrì Francesco , Gallucci Pierpaolo , Voloudakis Nikolaos , Ciccoritti Luigi , Greco Francesco , Salvi Giulia , Prioli Francesca , De Crea Carmela , Raffaelli Marco 
Published: June 2023

Abstract
The increased operative time and costs represent the main limitations of robotic technology application to bariatric surgery. Robotic platforms may help surgeon to overcome the technical difficulties in super obese (SO, BMI ≥ 50 kg/m2) patients, in which multiquadrant operations could be challenging. We aimed to evaluate the effect of robot-assisted (R) versus laparoscopic (L) approach in SADI-S and RYGB in SO and Super-Super Obese (SSO, BMI ≥ 60 kg/m2) patients in terms of cost-effectiveness and outcomes. Bariatric procedures performed from 2012 to 2022 were retrospectively reviewed. The inclusion criteria were BMI ≥ 50 kg/m2, primary SADI-S or RYGB. Operative time (OT), early complications, postoperative stay (POS), overall costs and follow-up data were analyzed. A subgroup analysis for surgical procedures and SSO patients was also performed. Among 4139 patients, 170 RYGB and 87 SADI-S in BMI ≥ 50 kg/m2 patients were selected. After Propensity Score Matching analysis, two groups of patients were identified (laparoscopic and robot-assisted), each one composed by 16 RYGB and 24 SADI-S. Intraoperative and postoperative complications rates and POS were comparable. Mean OT was longer in robot-assisted procedures compared with laparoscopy (198.3 ± 66.1 and 107.1 ± 38.2 minutes, respectively, p < 0.001). The difference in OT was eliminated after only SSO patients were included in the analysis (172.7 ± 24.1 vs 152.6 ± 26.2 minutes for R-SADI-S and L-SADI-S, respectively, p = 0.107). Robotic surgeries were associated with higher costs (8147.6 ± 2157.7€ and 2427.8 ± 487.3€ in R-RYGB and L-RYGB, respectively; 8057.6 ± 1883.1€ and 3968.6 ± 724.1€ in R-SADI-S and L-SADI-S). Despite increased costs, robot-assisted approach may represent an added value in more complex cases such as SSO patients.
Escrow Protected Cooperative Ciphertext Policy Weighted in Cloud Environment for Resourced Constrained Data
Authors: Ibrahim Zaid Abdulsalam , Ilyas Muhammad 
Published: June 2023

Abstract
The use of IoT for real-time data processing and sharing in various fields such as medical care, finance, and education has become essential. However, the current infrastructure for IoT is expensive and complex, leading to high maintenance costs. The outsourcing cloud paradigm and attribute-based encryption (ABE) are solutions to address data access problems in IoT data sharing. Ciphertext-policy attribute-based encryption (CP-ABE) is a prominent approach for securely utilizing shared data in cloud computing. However, CP-ABE raises concerns regarding key escrow problems and complex access structures. Multi-authority systems can increase communication costs. To address these issues, a scheme called Key escrow-protected Cooperative ciphertext policy with weighted attribute-based encryption (KPC-CP-WABE) is proposed. This scheme involves two authorities: the attribute authority and the Central Trusted Authority Center (CTAC). The user's secret key is generated separately by both parties, with the CTAC also playing a role in key generation. A two-party computation protocol is used to design the user's secret key, ensuring the privacy of the private key. The study mainly focused on looking at KPC-CP-WABE with other methods over encryption performance whole weighted access policies with “AND” gates. The proposed approach introduces weights to the provider's access policy attributes. An information retrieval system is also presented to extract the common access sub-policy, improving encryption performance while avoiding complex access structures. Compared to standard methods, this approach reduces encryption and decryption costs. Overall, the study demonstrates that KC-CP-WABE selectively secures shared data based on CP-WABE, resulting in superior performance in terms of extraction time compared to CP-ABE, CP-WABE, and C-CP-ABE.
Dynamic Programming-based Adversarial Windows Payload Generator
Authors: Kingful Francis , Ahene Emmanuel , Appiah Benjamin , Frimpong Bill K. , Osei Isaac , Hammond Ebenezer N. A. 
Published: June 2023

Abstract

This work presents a behavior preserving Adversarial payload framework against static Windows malware scanners.The framework uses Dynamic Programming to decide on the sequence of static code transformation actions to transform a Windows payload to its adversarial state. In an empirical evaluation with Windows payloads from Metasploit Framework in a black-box settings, static machine learning based and majority of commercial antivirus scanners can still be evaded by these transformations. The potency of these generated Adversarial payload capable of breaching commercial antivirus on users’ devices was demonstrated. The experimental results show a generated Adversarial Backdoor Trojan evade static and also evade its offline dynamic detector and establish a backdoor on the users’ device.
Loss and Conservation of Nonforest Ecosystems: an Integrative Landscape and Climate Approach for Endemic Birds of the Cerrado
Authors: Silva Murilo S. , Marco Paulo 
Published: June 2023

Abstract
Habitat loss in nonforest ecosystems is neglected globally, including in the Cerrado biome, where agriculture and livestock have caused significant changes. In the Cerrado, birds are among the groups most vulnerable to this process. To provide a better overview of this group, we investigated the extent of the impacts and coverage of protected areas on the species' habitats. We selected 23 species and integrated landscape and climate approaches with geospatial data from protected areas in the Cerrado. Between 1985 and 2019, almost all species evaluated in this study lost habitat within the potential distribution. On average, the species kept only 66% of their area of occupation in 2019, which means a 34% loss. Species widely distributed in the Cerrado preserve more habitat in the northern part of the biome, while those with most of their habitats in the southernmost areas of the biome had strong habitat loss. The total area remaining in 2019 represents, on average, only 32% of the extension of occurrence. Of this 32% on average, only 23% of the areas are in protected areas of the Cerrado. Average habitat protection in 2019 was below expectations given the current coverage of protected areas in the biome, averaging only 7.3% of the EOO among species. Our results showed that low protection (1/4) and habitat loss in the Cerrado greatly impacted birds endemic to open habitats. With species in this ecosystem at high risk, it is urgent to deepen the discussion on protecting remaining and restoring already lost habitats.