bluuebunny/crossref_metadata_2025_split huggingface dataset:
Database of human well-being and eco-sustainability under planetary pressures of the Belt and Road 1990–2018
Authors: Zhang Dawei , Guo Zicong , Gao Yigong , Niu Xiaxia , He Jiayi , Liu Xinyi , Fu Xinyi , Xu Hui 
Published: May 2023

AbstractThe Belt and Road (B&R) Initiative is considered as closely aligned with the UN’s Sustainable Development Goals by 2030 and could have a huge global impact. Its sustainable development issues have attracted worldwide attention. However, both the existing research and data accumulation on this aspect are seriously insufficient. Starting from the logic of the ultimate goal of sustainable development (namely within the ecological limitations, maximizing human well-being with minimum ecological consumption and minimizing the planetary pressures with maximum resource utilization efficiency), we have constructed a comprehensive evaluation method on sustainable development, namely the Consumption-Pressure-Output-Efficiency method in our previous study. Based on it, we provide a database with five datasets, which includes four core datasets (ecological consumption, planetary pressures, human well-being outputs and ecological well-being output efficiency) and a related dataset (biocapacity, ecological surplus/deficit, population), covering 61 B&R countries, B&R regional average and global average from 1990 to 2018. It can be used for further comprehensive research on sustainable development under planetary pressures and others of B&R.
Thermomagnetic properties and its effects on Fisher entropy with Schioberg plus Manning-Rosen potential (SPMRP) using Nikiforov-Uvarov functional analysis (NUFA) and supersymmetric quantum mechanics (SUSYQM) methods
Authors: Okon I. B. , Onate C. A. , Horchani R. , Popoola O. O. , Omugbe E. , William E. S. , Okorie U. S. , Inyang E. P. , Isonguyo C. N. , Udoh M. E. , Antia A. D. , Chen W. L. , Eyube E. S. , Araujo J. P. , Ikot A. N. 
Published: May 2023

AbstractThermomagnetic properties, and its effects on Fisher information entropy with Schioberg plus Manning-Rosen potential are studied using NUFA and SUSYQM methods in the presence of the Greene-Aldrich approximation scheme to the centrifugal term. The wave function obtained was used to study Fisher information both in position and momentum spaces for different quantum states by the gamma function and digamma polynomials. The energy equation obtained in a closed form was used to deduce numerical energy spectra, partition function, and other thermomagnetic properties. The results show that with an application of AB and magnetic fields, the numerical energy eigenvalues for different magnetic quantum spins decrease as the quantum state increases and completely removes the degeneracy of the energy spectra. Also, the numerical computation of Fisher information satisfies Fisher information inequality products, indicating that the particles are more localized in the presence of external fields than in their absence, and the trend shows complete localization of quantum mechanical particles in all quantum states. Our potential reduces to Schioberg and Manning-Rosen potentials as special cases. Our potential reduces to Schioberg and Manning-Rosen potentials as special cases. The energy equations obtained from the NUFA and SUSYQM were the same, demonstrating a high level of mathematical precision.
High throughput biochemical profiling, and functional potential analysis for valorization of grape peduncles
Authors: Akbar Ali , Gul Zareen , Hussain Nadia , Al Haddad Amal H. I. , Khan Nazir Ahmad , Sadiq Muhammad Bilal , Sher Hassan 
Published: May 2023

AbstractVitis vinifera L., commonly known as grape is a major fruit crop in the world. Grapes seem to confer health benefits due to their chemical components, biological and antioxidant activities. The present study is conducted to evaluate the biochemical constituents, antioxidant, and antimicrobial potential of ethanolic grape peduncles (EGP) extract. The result of phytochemical analysis revealed the presence of various phytochemicals such as flavonoid, tannin, carbohydrates, alkaloids, cardiac glycoside, phenol, steroid, terpenoids, quinones and anthraquinones. Furthermore, total phenolic content (TPC) and total flavonoid contents (TFC) were 7.35 ± 0.25 mg GAE/g (Gallic Acid Equivalent per gram) and 29.67 ± 0.13 mg QE/g (Quercetin Equivalent per gram) respectively. DPPH (2, 2-diphenyl-1-picrylhydrazyl) free radical scavenging assay revealed IC50 = 159.3 μg/mL. The antibacterial and antifungal study disclosed that the extract was highly potent against Salmonella typhi with maximum zone of inhibition of 27.2 ± 1.60 mm and Epidermophyton floccosum with 74 ± 1.81% inhibition. The extract was analyzed for its cytotoxicity and antileishmanial activity and showed no activity against HeLa cell line and promastigotes of Leishmania major. Elements Fe, Mn, Ni, Pb and Cd were determined by atomic absorption spectroscopy and approximately 50 compounds were identified by Gas Chromatography-Mass Spectrometry (GC–MS). Current work suggest that grape peduncles can be a promising source of bioactive medicinal component.
Autistic traits shape neuronal oscillations during emotion perception under attentional load modulation
Authors: Duville Mathilde Marie , Ibarra-Zarate David I. , Alonso-Valerdi Luz María 
Published: May 2023

AbstractEmotional content is particularly salient, but situational factors such as cognitive load may disturb the attentional prioritization towards affective stimuli and interfere with their processing. In this study, 31 autistic and 31 typically developed children volunteered to assess their perception of affective prosodies via event-related spectral perturbations of neuronal oscillations recorded by electroencephalography under attentional load modulations induced by Multiple Object Tracking or neutral images. Although intermediate load optimized emotion processing by typically developed children, load and emotion did not interplay in children with autism. Results also outlined impaired emotional integration emphasized in theta, alpha and beta oscillations at early and late stages, and lower attentional ability indexed by the tracking capacity. Furthermore, both tracking capacity and neuronal patterns of emotion perception during task were predicted by daily-life autistic behaviors. These findings highlight that intermediate load may encourage emotion processing in typically developed children. However, autism aligns with impaired affective processing and selective attention, both insensitive to load modulations. Results were discussed within a Bayesian perspective that suggests atypical updating in precision between sensations and hidden states, towards poor contextual evaluations. For the first time, implicit emotion perception assessed by neuronal markers was integrated with environmental demands to characterize autism.
High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots
Authors: Kou Lijie , Ye Nan , Waheed Anjam , Auliya Rahmat Zaki , Wu Chaoxing , Ooi Poh Choon , Li Fushan 
Published: May 2023

AbstractArtificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation. This work used a simple spin coating technique to fabricate polyimide (PI):graphene quantum dots(GQDs) memristor structure. As a result, the devices exhibit remarkably stable exponentially decaying postsynaptic suppression current over time, as interpreted in the spike-timing-dependent plasticity phenomenon. Furthermore, with the increase of the applied electrical signal over time, the conductance of the electrical synapse gradually changes, and the electronic synapse also shows plasticity dependence on the amplitude and frequency of the pulse applied. In particular, the devices with the structure of Ag/PI:GQDs/ITO prepared in this study can produce a stable response to the stimulation of electrical signals between millivolt to volt, showing not only high sensitivity but also a wide range of “feelings”, which makes the electronic synapses take a step forwards to emulate biological synapses. Meanwhile, the electronic conduction mechanisms of the device are also studied and expounded in detail. The findings in this work lay a foundation for developing brain-like neuromorphic modeling in artificial intelligence.
Antimicrobial resistance gene lack in tick-borne pathogenic bacteria
Authors: Papp Márton , Tóth Adrienn Gréta , Valcz Gábor , Makrai László , Nagy Sára Ágnes , Farkas Róbert , Solymosi Norbert 
Published: May 2023

AbstractTick-borne infections, including those of bacterial origin, are significant public health issues. Antimicrobial resistance (AMR), which is one of the most pressing health challenges of our time, is driven by specific genetic determinants, primarily by the antimicrobial resistance genes (ARGs) of bacteria. In our work, we investigated the occurrence of ARGs in the genomes of tick-borne bacterial species that can cause human infections. For this purpose, we processed short/long reads of 1550 bacterial isolates of the genera Anaplasma (n = 20), Bartonella (n = 131), Borrelia (n = 311), Coxiella (n = 73), Ehrlichia (n = 13), Francisella (n = 959) and Rickettsia (n = 43) generated by second/third generation sequencing that have been freely accessible at the NCBI SRA repository. From Francisella tularensis, 98.9% of the samples contained the FTU-1 beta-lactamase gene. However, it is part of the F. tularensis representative genome as well. Furthermore, 16.3% of them contained additional ARGs. Only 2.2% of isolates from other genera (Bartonella: 2, Coxiella: 8, Ehrlichia: 1, Rickettsia: 2) contained any ARG. We found that the odds of ARG occurrence in Coxiella samples were significantly higher in isolates related to farm animals than from other sources. Our results describe a surprising lack of ARGs in these bacteria and suggest that Coxiella species in farm animal settings could play a role in the spread of AMR.
Early postoperative laboratory parameters are predictive of initial treatment failure in acute septic arthritis of the knee and shoulder joint
Authors: Straub Jennifer , Lingitz Marie-Therese , Apprich Sebastian , Staats Kevin , Windhager Reinhard , Böhler Christoph 
Published: May 2023

AbstractSeptic arthritis is an orthopedic emergency potentially causing irreversible joint damage. However, the predictive value of potential risk factors such as early postoperative laboratory parameters remains uncertain. We investigated risk factors for initial surgical treatment failure using data from 249 patients (194 knees, 55 shoulders) treated for acute septic arthritis between 2003 and 2018. Necessity for further surgical intervention was defined as primary outcome. Demographic data, medical history, initial and postoperative laboratory parameters, Charlson Comorbidity Index (CCI), and Kellgren and Lawrence classification were collected. Two scoring systems were developed as tools for failure risk estimation after initial surgical irrigation and debridement. More than one intervention was necessary in 26.1% of cases. Treatment failure occurred significantly more often for those with longer symptom duration (p = 0.003), higher CCI grades (p = 0.027), Kellgren-Lawrence grade IV (p = 0.013), shoulder arthroscopy (p = 0.010), positive bacterial culture results (p < 0.001), slow postoperative CRP decline until day three (p = 0.032) and five (p = 0.015), reduced WBC-decline (p = 0.008), and lower hemoglobin (p < 0.001). Scores for third and fifth postoperative day achieved AUCs of 0.80 and 0.85, respectively. This study identified risk factors for treatment failure in patients with septic arthritis, suggesting that early postoperative laboratory parameters can guide further treatment.
Biocontrol potential of native isolates of Beauveria bassiana against cotton leafworm Spodoptera litura (Fabricius)
Authors: Islam Shah Mohammad Naimul , Chowdhury Md. Zahid Hasan , Mim Mahjabin Ferdaous , Momtaz Milia Bente , Islam Tofazzal 
Published: May 2023

AbstractThe entomopathogenic fungus (EPF),Beauveria bassiana, is reported as the most potent biological control agent against a wide range of insect families. This study aimed to isolate and characterize the nativeB. bassianafrom various soil habitats in Bangladesh and to evaluate the bio-efficacy of these isolates against an important vegetable insect pest,Spodoptera litura. Seven isolates from Bangladeshi soils were characterized asB. bassianausing genomic analysis. Among the isolates, TGS2.3 showed the highest mortality rate (82%) against the 2nd instar larvae ofS. lituraat 7 days after treatment (DAT). This isolate was further bioassayed against different stages ofS. lituraand found that TGS2.3 induced 81, 57, 94, 84, 75, 65, and 57% overall mortality at egg, neonatal 1st, 2nd, 3rd, 4th, and 5th instar larvae, respectively, over 7 DAT. Interestingly, treatment withB. bassianaisolate TGS2.3 resulted in pupal and adult deformities as well as decreased adult emergence ofS. litura. Taken together, our results suggest that a native isolate ofB. bassianaTGS2.3 is a potential biocontrol agent against the destructive insect pestS. litura. However, further studies are needed to evaluate the bio-efficacy of this promising native isolatein plantaand field conditions.
Clinical significance of distal femur morphology in a healthy Mongolian youth population
Authors: Wang Boyang , Zhang Guoliang , Pu Ribusurong , Li Qiang , Wang Yuewen 
Published: May 2023

AbstractMorphological parameters of knee joint are related to race and nationality. At present, knee prosthesis come from white male population. Due to the mismatch between the prosthesis and other ethnic groups, the prosthesis life span is reduced, revision surgery and the patients’ economic burden are increased. There is no data of the Mongolian ethnic group. In order to treat patients more accurately, we measured the Mongolian data of the femoral condyle. A total of 122 knee joints were scanned in 61 volunteers (21 males and 40 females) with an average age of 23.259 ± 1.395 years. The Mimics software was used to reconstruct the 3D image and measure the data of each line. The data were analyzed by statistical methods such as t test, and P < 0.05 was taken as the significant. 122 normal femoral condyle data were obtained. The mean transverse diameter of femoral condyle is 76.472 ± 5.952 mm, medial condyle is 29.259 ± 11.461 mm, and the sagittal diameter of the medial condyle was 56.758 ± 4.163 mm. The transverse diameter of the lateral femoral condyle is 29.388 ± 3.157 mm, the sagittal diameter of the lateral condyle is 58.937 ± 3.527 mm and the femoral plane rate is 1.264 ± 0.072. (1) There was no statistical significance in the left and right knee joint data (P > 0.05). (2) The different genders data of femoral condyle were statistically significant (P < 0.05). (3) Compared with other nationalities and races, the data of femoral condyle are different. (4) There are differences between femoral surface ratio and mainstream prosthesis data.
The prevalence and determinant of overweight and obesity among residents aged 40–69 years in high-risk regions for upper gastrointestinal cancer in southeast China
Authors: Feng Xiang , Zhu Jinhua , Hua Zhaolai , Shi Qiuping , Zhou Jinyi , Luo Pengfei 
Published: May 2023

AbstractBeing overweight or obese is one of the public health concerns worldwide, and its prevalence is gradually increasing. Obesity has been proven to be associated with some cancers, including upper gastrointestinal cancer (UGC). However, studies on the prevalence of obesity among residents of areas at high risk of UGC in China are minimal. The aim of this study is to assess the prevalence of obesity and its influencing factors among people aged 40–69 years (high-risk population) in high-risk areas for UGC in Jiangsu Province, southeast China. This cross-sectional study involved 45,036 subjects aged 40–69 years identified in the Rural Early Diagnosis and Treatment of UGC Project database in Jiangsu Province from 2017 to 2021. Differences in prevalence across gender and age were assessed using the Chi-square test. Using a multinomial logistic regression model, we examined independent risk factors for overweight/obesity and their gender and age differences. The prevalence of overweight, obesity, and overweight/obesity varied based on the standards used: Chinese standard (42.1%, 11.9%, and 54.0%) and WHO standard (34.7%, 4.7%, and 39.4%), respectively. Being overweight was more common in men than women, while obesity was more common in women than men. Age of 50–59 years, married, household size of 7–9, drinking, soy products, pickled food, and hot food intake were positively associated with overweight/obesity. Females, 60–69 years, higher education level, household size of 4–6, annual family income of more than 60,000 CNY, smoking, and fresh fruit intake were negatively associated with overweight/obesity. Stratified analysis showed that the effects of age, education and meat, egg and dairy products on overweight/obesity were different across gender. The impact of fresh fruit and vegetables on overweight/obesity was also heterogeneous between the younger (40–59 years) and older (60–69 years) groups. In conclusion, the prevalence of overweight and obesity is high among adults aged 40–69 years from high-risk areas for UGC of Jiangsu Province, southeast China. Independent influencing factors of being overweight/obese included gender, age, marital status, education, household size, annual family income, smoking, drinking, fresh fruit, soy products, pickled food and hot food intake, and may vary by gender and age. Screening-based interventions should be considered to control obesity levels among screened participants. Besides, heterogeneity of influencing factors across subgroups could be focused on to improve intervention effectiveness.
ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma
Authors: Park Sung-Soo , Lee Jong Cheol , Byun Ja Min , Choi Gyucheol , Kim Kwan Hyun , Lim Sungwon , Dingli David , Jeon Young-Woo , Yahng Seung-Ah , Shin Seung-Hwan , Min Chang-Ki , Koo Jamin 
Published: May 2023

AbstractOptimal first-line treatment that enables deeper and longer remission is crucially important for newly diagnosed multiple myeloma (NDMM). In this study, we developed the machine learning (ML) models predicting overall survival (OS) or response of the transplant-ineligible NDMM patients when treated by one of the two regimens—bortezomib plus melphalan plus prednisone (VMP) or lenalidomide plus dexamethasone (RD). Demographic and clinical characteristics obtained during diagnosis were used to train the ML models, which enabled treatment-specific risk stratification. Survival was superior when the patients were treated with the regimen to which they were low risk. The largest difference in OS was observed in the VMP-low risk & RD-high risk group, who recorded a hazard ratio of 0.15 (95% CI: 0.04–0.55) when treated with VMP vs. RD regimen. Retrospective analysis showed that the use of the ML models might have helped to improve the survival and/or response of up to 202 (39%) patients among the entire cohort (N = 514). In this manner, we believe that the ML models trained on clinical data available at diagnosis can assist the individualized selection of optimal first-line treatment for transplant-ineligible NDMM patients.
An artificial intelligence based app for skin cancer detection evaluated in a population based setting
Authors: Smak Gregoor Anna M. , Sangers Tobias E. , Bakker Lytske J. , Hollestein Loes , Uyl – de Groot Carin A. , Nijsten Tamar , Wakkee Marlies 
Published: May 2023

AbstractArtificial intelligence (AI) based algorithms for classification of suspicious skin lesions have been implemented in mobile phone apps (mHealth), but their effect on healthcare systems is undocumented. In 2019, a large Dutch health insurance company offered 2.2 million adults free access to an mHealth app for skin cancer detection. To study the impact on dermatological healthcare consumption, we conducted a retrospective population-based pragmatic study. We matched 18,960 mHealth-users who completed at least one successful assessment with the app to 56,880 controls who did not use the app and calculated odds ratios (OR) to compare dermatological claims between both groups in the first year after granting free access. A short-term cost-effectiveness analysis was performed to determine the cost per additional detected (pre)malignancy. Here we report that mHealth-users had more claims for (pre)malignant skin lesions than controls (6.0% vs 4.6%, OR 1.3 (95% CI 1.2–1.4)) and also a more than threefold higher risk of claims for benign skin tumors and nevi (5.9% vs 1.7%, OR 3.7 (95% CI 3.4–4.1)). The costs of detecting one additional (pre)malignant skin lesion with the app compared to the current standard of care were €2567. Based on these results, AI in mHealth appears to have a positive impact on detecting more cutaneous (pre)malignancies, but this should be balanced against the for now stronger increase in care consumption for benign skin tumors and nevi.
A Low-power wearable acoustic device for accurate invasive arterial pressure monitoring
Authors: Kim Maruchi , Wang Anran , Jelacic Srdjan , Bowdle Andrew , Gollakota Shyamnath , Michaelsen Kelly 
Published: May 2023

Abstract
Background
Millions of catheters for invasive arterial pressure monitoring are placed annually in intensive care units, emergency rooms, and operating rooms to guide medical treatment decision-making. Accurate assessment of arterial blood pressure requires an IV pole-attached pressure transducer placed at the same height as a reference point on the patient’s body, typically, the heart. Every time a patient moves, or the bed is adjusted, a nurse or physician must adjust the height of the pressure transducer. There are no alarms to indicate a discrepancy between the patient and transducer height, leading to inaccurate blood pressure measurements.

Methods
We present a low-power wireless wearable tracking device that uses inaudible acoustic signals emitted from a speaker array to automatically compute height changes and correct the mean arterial blood pressure. Performance of this device was tested in 26 patients with arterial lines in place.

Results
Our system calculates the mean arterial pressure with a bias of 0.19, inter-class correlation coefficients of 0.959 and a median difference of 1.6 mmHg when compared to clinical invasive arterial measurements.

Conclusions
Given the increased workload demands on nurses and physicians, our proof-of concept technology may improve accuracy of pressure measurements and reduce the task burden for medical staff by automating a task that previously required manual manipulation and close patient surveillance.
Nanoscopic Materials: Size-Dependent Phenomena and Growth Principles
Authors: Roduner Emil 
Published: May 2023

In recent years there have been great advances in the development of new nanomaterials. To facilitate the progress of new materials it is essential to understand the underlying principles at the nanoscale.
Nanoscopic Materials provides an accessible overview of the physico-chemical and physical principles of nanomaterials including electronic structure, magnetic properties, thermodynamics of size dependence and phase transitions and dynamics of clusters and two-dimensional systems. This new edition has been fully revised and updated to reflect recent developments in new nanomaterials including graphene and core–shell structures, properties of nano-structured and intelligent surfaces as well as applications in catalysis and energy. Additional chapters cover the development of nucleation and crystal shape engineering; self-assembly and biomimetics for fabricating nanostructures.
With helpful illustrations and summaries of key points in every chapter, this advanced textbook is ideal for graduate students of chemistry and materials science and researchers new to the field of nanoscience and nanotechnology.