bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative study of machine learning and deep learning methods for energy balance prediction in a hybrid building-renewable energy system
Authors: Mirjalili Mohammad Amin , Aslani Alireza , Zahedi Rahim , Soleimani Mohammad 
Published: June 2023

AbstractGlobally, the construction industry is experiencing an increase in energy demand, which has significant environmental and economic repercussions. To address these issues, it is now possible for buildings, vehicles, and renewable energy sources to collaborate and function as an advanced, integrated, and environmentally favorable system that meets the high energy demands of contemporary buildings. To attain maximum efficiency, however, it is necessary to create reliable energy demand forecasting models. In this research, by introducing the energy model of a neighbourhood with buildings with solar panels and electric vehicles, the final balance of energy production and consumption for each building and the whole neighbourhood as a micro grid is predicted. DesignBuilder is used to model neighbourhood buildings, and K-Nearest neighbor (KNN), Regression Support Vector (SVR), Adaptive Boosting (AdaBoost), and Deep neural networks (DNN) algorithms in machine learning are used to predict the final energy balance. a comparative analysis of the performance of the KNN, SVR, AdaBoost, and DNN algorithms was conducted to determine which algorithm is the most effective in predicting energy balance. Finally, the Root Mean Square Error (RMSE) has been used to validate the prediction models. The results show that the KNN, SVR, AdaBoost, and DNN algorithms had RMSE values of 0.56, 0.92, 0.95, and 0.53, respectively. Among these algorithms, the DNN and KNN algorithms had more accurate results than the other used algorithms and as a result of this research, An accurate forecast of neighbourhood energy balance was made. This study takes a novel approach by developing a model that takes into account an integrated system of houses, solar cells, and electric consumption for each building in a neighborhood, which can help to optimize energy consumption and reduce environmental impact.
Bridging the simulation-to-real gap for AI-based needle and target detection in robot-assisted ultrasound-guided interventions
Authors: Arapi Visar , Hardt-Stremayr Alexander , Weiss Stephan , Steinbrener Jan 
Published: June 2023

Abstract
Background
Artificial intelligence (AI)-powered, robot-assisted, and ultrasound (US)-guided interventional radiology has the potential to increase the efficacy and cost-efficiency of interventional procedures while improving postsurgical outcomes and reducing the burden for medical personnel.

Methods
To overcome the lack of available clinical data needed to train state-of-the-art AI models, we propose a novel approach for generating synthetic ultrasound data from real, clinical preoperative three-dimensional (3D) data of different imaging modalities. With the synthetic data, we trained a deep learning-based detection algorithm for the localization of needle tip and target anatomy in US images. We validated our models on real, in vitro US data.

Results
The resulting models generalize well to unseen synthetic data and experimental in vitro data making the proposed approach a promising method to create AI-based models for applications of needle and target detection in minimally invasive US-guided procedures. Moreover, we show that by one-time calibration of the US and robot coordinate frames, our tracking algorithm can be used to accurately fine-position the robot in reach of the target based on 2D US images alone.

Conclusions
The proposed data generation approach is sufficient to bridge the simulation-to-real gap and has the potential to overcome data paucity challenges in interventional radiology. The proposed AI-based detection algorithm shows very promising results in terms of accuracy and frame rate.

Relevance statement
This approach can facilitate the development of next-generation AI algorithms for patient anatomy detection and needle tracking in US and their application to robotics.

Key points
• AI-based methods show promise for needle and target detection in US-guided interventions.
• Publicly available, annotated datasets for training AI models are limited.
• Synthetic, clinical-like US data can be generated from magnetic resonance or computed tomography data.
• Models trained with synthetic US data generalize well to real in vitro US data.
• Target detection with an AI model can be used for fine positioning of the robot.

Graphical Abstract
Investigation of accessory transverse foramen in dry cervical vertebrae: incidence, variations, types, locations, and diagnostic implications
Authors: Ogut Eren , Guzelad Ozge , Yıldırım Fatos Belgin 
Published: June 2023

Abstract
Background
This research aimed to determine the incidence, variations, types, and potential locations of the accessory transverse foramen (ATF) in dry cervical vertebrae. A total of 250 Turkish dry cervical vertebrae were examined, with 500 transverse foramina investigated. The cervical vertebrae were categorized into five groups (C3–C7), and each cervical vertebra was assessed bilaterally to determine the location, incidence, and side of the ATF.

Results
ATF was observed in 21 vertebrae (8.4%) and was distributed posteriorly (76.2%), posterolaterally (19.04%), and posteromedially (4.8%) in relation to the location of the TF. The incidence of ATF was 4.8% in C3, 28.6% in C4, 9.5% in C5, 23.8% in C6, and 33.3% in C7. Furthermore, a statistically significant difference was observed in the unilateral or bilateral occurrence of the ATF (F = 3.079; p = 0.047, p < 0.05).

Conclusions
In this study, we have presented an investigative approach and discussed the potential implications of identifying the ATF in dry cervical vertebrae. The presence of ATF can be crucial in the diagnosis of variations in the vertebral artery (VA) and underlying disorders, potentially aiding in the determination of the cause of death or ancestry. Additionally, the posterior location of the ATF and its asymmetric distribution should be taken into account when evaluating dry cervical vertebrae, which may offer valuable information for the identification of variations.
Effect of the entomopathogenic fungus, Beauveria bassiana inhibiting whitefly transmission of squash leaf curl virus infecting squash
Authors: Abd El-Wahab Abeer Salah El-Deen , Nada Maha S. , El-Shazly Manal A. , Galal Azza , Amin Hala A. 
Published: June 2023

Abstract
Background
Squash leaf curl virus (SLCV) is efficiently transmitted and spread by the whitefly, Bemisia tabaci (Gennadius), which is the only vector that transmits begomoviruses naturally causing huge crop losses through feeding damage. The widespread use of chemical insecticides to control the whitefly B. tabaci has become extremely hazardous to the environment. Alternative methods such as biological control have been advocated. Entomopathogenic fungi (EPF) have been found as promising whitefly bio-pesticides.

Results
Naturally infected squash plants that showed symptoms of squash leaf curl disease were collected from Giza Governorate, Egypt. SLCV was detected using a PCR assay using coat protein-specific primers and generated an amplicon of 419 bp. Multiple sequence alignment showed that the SLCV-Giza isolate has a significant identity of 99.2% with the SLCV-Mx:BCS: La Paz isolate from Mexico and 99% with the SLQV.Q2521 isolate from Egypt. Phylogenetic analysis showed that SLCV-Giza is closely related to the SLCV-Mx:BCS: La Paz isolate from Mexico. The whitefly transmission test revealed that the virus transmitted to an extent of 13.3% and reached 100% of transmission using 15–20 viruliferous whiteflies; while the efficiency of syringe injection was (60%). B. tabaci newly emerge adults were able to acquire and transmit SLCV after an Acquisition Access Period (AAP) of 15 and 30 min by low rates of 13.3 and 22.2%, respectively. The transmission rate was increased gradually to reach the maximum of 100% after 24, 48, and 72 h (AAP). B. tabaci was able to inoculate SLCV after an Inoculation Access Period (IAP) of 15 and 30 min with rates of 46.7 and 62.2%. The whitefly was allowed to acquire SLCV from a squash plant (virus source) treated previously with EPF (Beauveria bassiana) and allowed to transmit the virus to the test plants. The transmission effectiveness of viruliferous whitefly was lower (33.4%) than that of non-treated whitefly (100%). The transmission efficiency was decreased on the second day by 6.8% and by the third day by 2.2% of treatment with the EPF. The results were validated by PCR assay for SLCV from tested squash plants and the PCR did not reveal specific amplification.

Conclusions
The use of EPF (B. bassiana) for B. tabaci control had a direct impact on SLCV accumulation and transmission.
First record of Scuttle fly, Megaselia (M) scalaris (Loew) (Diptera: Phoridae) as a parasitoid of Sunn pest, Eurygaster integriceps Puton (Hemiptera: Scutelleridae) from Iran
Authors: Ebrahimi Laleh , Disney R. Henry L. , Haghshenas Alireza , Gilasian Ebrahim , Amir-Maafi Masood , Khaneghah Shahram Shahrokhi 
Published: June 2023

AbstractThe Scuttle fly, Eurygaster integriceps Puton (Hemiptera: Scutelleridae) is a key pest of wheat and barley. The pest is univoltine and migrates from wheat fields following harvest to high elevations; then, the following spring it moves back to the fields. Natural enemies may have an important role in decreasing the population’s level in overwintering sites. In the present study, adults of E. integriceps were collected from overwintering sites in Isfahan province, Iran, in October 2022 and transferred to the laboratory. One week after sampling, dead adults were isolated and divided into three groups: one group was dissected under a stereomicroscope, and parasitoid larvae were extracted from the cadavers; the second one was incubated in Petri dishes sealed with parafilm, individually for four weeks, and emerged pupae were collected; and the third group was incubated in the closed boxes, and emerged flies were collected for fixing and identification. Assessment of dissected adult E. integriceps under a stereomicroscope revealed that the insect was parasitized with Megaselia scalaris (Loew) (Diptera: Phoridae) larvae. Per adult, up to 13 larvae were found inside E. integriceps. The last instar larvae were pupated outside the E. integriceps body. This study is a new record of M. scalaris as a parasitoid of E. intergriceps in Iran.
No difference in COVID-19 treatment outcomes among current methamphetamine, cannabis and alcohol users
Authors: Rydberg Ann , Dodoo Christopher A. , Schneekloth Terry D. , Abulseoud Osama A. 
Published: June 2023

AbstractBackgroundPoor outcomes of COVID-19 have been reported in older males with medical comorbidities including substance use disorder. However, it is unknown whether there is a difference in COVID-19 treatment outcomes between patients who are current cannabis users, excessive alcohol drinkers and those who use a known hazardous stimulant such as methamphetamine (METH).MethodsElectronic medical records (EMR) of COVID-19 patients with current METH (n = 32), cannabis (n = 46), and heavy alcohol use (n = 44) were reviewed. COVID-19 infection was confirmed by positive SARS-CoV-2 PCR test, current drug use was confirmed by positive urine drug testing, and alcohol use was identified by a blood alcohol concentration greater than 11 mg/dl.Multivariate linear regression models as well as the firth logistic regression models were used to examine the effect of substance use group (METH, cannabis, or alcohol) on treatment outcome measures.ResultsA total of 122 patients were included in this analysis. There were no significant differences found between drug groups in regards to key SARS-CoV-2 outcomes of interest including ICU admission, length of stay, interval between SARS-CoV-2 positive test and hospital discharge, delirium, intubation and mortality after adjusting for covariates. About one-fifth (21.9% in METH users, 15.2% in cannabis users, and 20.5% in alcohol users) of all patients required ICU admission. As many as 37.5% of METH users, 23.9% of cannabis users, and 29.5% of alcohol users developed delirium (P = 0.4). There were no significant differences between drug groups in COVID-19 specific medication requirements. Eight patients in total died within 10 months of positive SARS-CoV-2 PCR test. Two patients from the METH group (6.3%), two patients from the cannabis group (4.3%), and four patients from the alcohol group (9.1%) died.DiscussionThe study outcomes may have been affected by several limitations. These included the methodology of its retrospective design, relatively small sample size, and the absence of a COVID-19 negative control group. In addition, there was no quantification of substance use and many covariates relied on clinical documentation or patient self-report. Finally, it was difficult to control for all potential confounders particularly given the small sample size.ConclusionDespite these limitations, our results show that current METH, cannabis, and heavy alcohol users in this study have similar treatment outcomes and suffer from high morbidity including in-hospital delirium and high mortality rates within the first-year post COVID-19. The extent to which co-morbid tobacco smoking contributed to the negative outcomes in METH, cannabis, and alcohol users remains to be investigated.
Estimation of BDS pseudorange biases with high temporal resolution: feasibility, affecting factors, and necessity
Authors: Su Ke , Jiao Guoqiang 
Published: June 2023

AbstractA common practice adopted for the pseudorange bias estimation and calibration assumes that Global Navigation Satellite System satellite-dependent pseudorange biases vary gently over time. Whereupon satellite pseudorange biases are routinely estimated and provided as the products with low temporal resolution, e.g., hourly or daily, by the agencies. The story sounds unquestionably perfect under the acquainted assumption. To validate the inadequacy of the above hypothesis we herein present an approach to the estimate the BeiDou Navigation Satellite System (BDS) pseudorange biases with high temporal resolution. Its feasibility, affecting factors, and necessity are discussed. Concretely, the Geometry-Free function models are first constructed to retrieve the linear combination of the pseudorange biases; then the pseudorange Observable-specific Signal Bias (OSB) values with respect to baseline frequencies (e.g., BDS C2I/C6I) are estimated along with the ionosphere modeling; subsequently, all multi-frequency pseudorange OSBs are determined by using the ionospheric information with constraint conditions; finally, the possible Differential Code Bias sets are attainable with the estimated pseudorange OSBs. Using the observation data of four months when the estimated BDS pseudorange biases are stable, their reliability is demonstrated with the stability at the level of sub-nanosecond and the BeiDou-3 Navigation Satellite System (BDS-3) values more stable than that of BeiDou-2 Navigation Satellite System (BDS-2). The comparison between the estimated pseudorange biases and the Chinese Academy of Sciences products reveals that the accuracy of the estimated pseudorange biases is 0.2–0.4 ns. Moreover, the large magnitude of the short-term pseudorange bias variation in the tens of nanoseconds for the BDS-2 and BDS-3 are found in years 2021 and 2022, which are affected by two types of the satellite flex power for the BDS-2 and BDS-3, respectively. We stress that it’s necessary to estimate the BDS pseudorange biases with high temporal resolution in the case of the satellite flex power and the products currently provided by the agencies cannot reflect the true quantity under the circumstance.
Pulmonary cement embolism: a complication following vertebroplasty - a case report with brief review of literature
Authors: Kalekar Tushar , Kumar Mudit K , Dahiya Ajay , Shah Viraj Pankaj , Harshyenee K. K. 
Published: June 2023

Abstract
Background
A minimally invasive treatment for vertebral compression fractures is vertebroplasty. In spite of its relative safety, complications have been reported. It is a relatively uncommon complication among these that patients experience massive cement pulmonary embolism. Polymethyl methacrylate (PMMA) can cause embolization in the pulmonary arteries. One of the most common cements used in vertebroplasty is PMMA, a type of acrylic cement. Pulmonary cement embolism can occur if cement leaks into the perivertebral veins and then the pulmonary arteries (Barbero et al., Radiol Med 113:101–13, 2008). Occasionally, the patient will show no symptoms at all, while other times they will experience dyspnea, chest pain, or acute respiratory distress syndrome. A 54-year-old male who underwent vertebroplasty developed pulmonary cement embolism is the patient in our case report.

Case presentation
A 54-year-old male had complaints of breathlessness for 1 week and left lower limb and lower back pain associated with swelling of the lower limbs for 20 days. The patient is an operated case of osteoporotic compression fractures of D6, D11, L1, L3, and L5 vertebroplasty 3 years back. Subsequently, computed tomography pulmonary angiography was performed and diagnosed with partial embolization of the distal peripheral branches of the bilateral pulmonary arteries by the vertebroplasty material.

Conclusion
Vertebroplasty and kyphoplasty are the most prevalent procedures used to inject bone cement (PMMA) into the vertebral column in order to treat osteoporosis. With vertebroplasty, the possibility of embolization increases. In vertebral osteoporosis, the primary advantage is a reduction in pain and vertebral body collapse. Pulmonary cement embolization causes chest discomfort and shortness of breath. Sometimes, acute respiratory distress syndrome is present (Yoo et al., Spine (Phila Pa 1976) 29:E294–7, 2004). After the operation, these symptoms rarely arise. Symptoms often appear weeks, months, or years after the surgery (Habib et al., Heart Lung 41:509-11, 2012). Through this case report, we discuss the complication following vertebroplasty and their management guidelines.
Effect of prior pharmacotherapy on remission with sequential bilateral theta-burst versus standard bilateral repetitive transcranial magnetic stimulation in treatment-resistant late-life depression
Authors: Wathra Rafae A. , Mulsant Benoit H. , Daskalakis Zafiris J. , Downar Jonathan , McClintock Shawn M. , Nestor Sean M. , Rajji Tarek K. , Trevizol Alisson P. , Blumberger Daniel M. 
Published: June 2023

SummaryRepetitive transcranial magnetic stimulation (rTMS) is used for treatment of late-life depression. In the FOUR-D study, sequential bilateral theta-burst stimulation (TBS) had comparable remission rates to standard bilateral rTMS. Data were analysed from the FOUR-D trial to compare remission rates between two types of rTMS based on the number and class of prior medication trials. The remission rate was higher in participants with ≤1 previous trial (43.9%) than in participants with 2 previous trials (26.5%) or ≥3 previous trials (24.6%; χ² = 6.36, d.f. = 2, P = 0.04). Utilising rTMS earlier in late-life depression may lead to better outcomes.
Thyroid Function and Metabolic Syndrome: A Two-Sample Bidirectional Mendelian Randomization Study
Authors: Pleić Nikolina , Gunjača Ivana , Babić Leko Mirjana , Zemunik Tatijana 
Published: June 2023

Abstract

Context
Thyroid function has been associated with metabolic syndrome (MetS) in a number of observational studies but the direction of effects and the exact causal mechanism of this relationship is still unknown.

Objective
To examine genetically predicted effects of thyroid function on MetS risk and its components, and vice versa, using large-scale summary genetic association data.

Methods
We performed a two-sample bidirectional Mendelian randomization (MR) study using summary statistics from the most comprehensive genome-wide association studies (GWAS) of thyroid-stimulating hormone (TSH, n = 119 715), free thyroxine (fT4, n = 49 269), MetS (n = 291 107), and components of MetS: waist circumference (n = 462 166), fasting blood glucose (n = 281 416), hypertension (n = 463 010), triglycerides (TG, n = 441 016) and high-density lipoprotein cholesterol (HDL-C, n = 403 943). We chose the multiplicative random effects inverse variance weighted (IVW) method as the main analysis. Sensitivity analysis included weighted median and mode analysis, as well as MR-Egger and Causal Analysis Using Summary Effect estimates (CAUSE).

Results
Our results suggest that higher fT4 levels lower the risk of developing MetS (OR = 0.96, P = .037). Genetically predicted fT4 was also positively associated with HDL-C (β = 0.02, P = .008), while genetically predicted TSH was positively associated with TG (β = 0.01, P = .044). These effects were consistent across different MR analyses and confirmed with the CAUSE analysis. In the reverse direction MR analysis, genetically predicted HDL-C was negatively associated with TSH (β = −0.03, P = .046) in the main IVW analysis.

Conclusion
Our study suggests that variations in normal-range thyroid function are causally associated with the diagnosis of MetS and with lipid profile, while in the reverse direction, HDL-C has a plausible causal effect on reference-range TSH levels.
Kinesin-1 promotes centrosome clustering and nuclear migration in the Drosophila oocyte
Authors: Loh Maëlys , Bernard Fred , Guichet Antoine 
Published: June 2023

ABSTRACT
Microtubules and their associated motors are important players in nucleus positioning. Although nuclear migration in Drosophila oocytes is controlled by microtubules, a precise role for microtubule-associated molecular motors in nuclear migration has yet to be reported. We characterize novel landmarks that allow a precise description of the pre-migratory stages. Using these newly defined stages, we report that, before migration, the nucleus moves from the oocyte anterior side toward the center and concomitantly the centrosomes cluster at the posterior of the nucleus. In the absence of Kinesin-1, centrosome clustering is impaired and the nucleus fails to position and migrate properly. The maintenance of a high level of Polo-kinase at centrosomes prevents centrosome clustering and impairs nuclear positioning. In the absence of Kinesin-1, SPD-2, an essential component of the pericentriolar material, is increased at the centrosomes, suggesting that Kinesin-1-associated defects result from a failure to reduce centrosome activity. Consistently, depleting centrosomes rescues the nuclear migration defects induced by Kinesin-1 inactivation. Our results suggest that Kinesin-1 controls nuclear migration in the oocyte by modulating centrosome activity.
OSpRad: an open-source, low-cost, high-sensitivity spectroradiometer
Authors: Troscianko Jolyon 
Published: June 2023

ABSTRACT
Spectroradiometry is a vital tool in a wide range of biological, physical, astronomical and medical fields, yet its cost and accessibility are frequent barriers to use. Research into the effects of artificial light at night (ALAN) further compounds these difficulties with requirements for sensitivity to extremely low light levels across the ultraviolet to human-visible spectrum. Here, I present an open-source spectroradiometry (OSpRad) system that meets these design challenges. The system utilises an affordable miniature spectrometer chip (Hamamatsu C12880MA), combined with an automated shutter and cosine-corrector, microprocessor controller, and graphical user interface ‘app’ that can be used with smartphones or desktop computers. The system has high ultraviolet sensitivity and can measure spectral radiance at 0.001 cd m−2 and irradiance at 0.005 lx, covering the vast majority of real-world night-time light levels. The OSpRad system's low cost and high sensitivity make it well suited to a range of spectrometry and ALAN research.