bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-range fiber-optic earthquake sensing by active phase noise cancellation
Authors: Noe Sebastian , Husmann Dominik , Müller Nils , Morel Jacques , Fichtner Andreas 
Published: August 2023

AbstractWe present a long-range fiber-optic environmental deformation sensor based on active phase noise cancellation (PNC) in metrological frequency dissemination. PNC sensing exploits recordings of a compensation frequency that is commonly discarded. Without the need for dedicated measurement devices, it operates synchronously with metrological services, suggesting that existing phase-stabilized metrological networks can be co-used effortlessly as environmental sensors. The compatibility of PNC sensing with inline amplification enables the interrogation of cables with lengths beyond 1000 km, making it a potential contributor to earthquake detection and early warning in the oceans. Using spectral-element wavefield simulations that accurately account for complex cable geometry, we compare observed and computed recordings of the compensation frequency for a magnitude 3.9 earthquake in south-eastern France and a 123 km fiber link between Bern and Basel, Switzerland. The match in both phase and amplitude indicates that PNC sensing can be used quantitatively, for example, in earthquake detection and characterization.
Multidrug resistance pattern and molecular epidemiology of pathogens among children with diarrhea in Bangladesh, 2019–2021
Authors: Sharif Nadim , Ahmed Shamsun Nahar , Khandaker Shamim , Monifa Nuzhat Haque , Abusharha Ali , Vargas Debora Libertad Ramírez , Díez Isabel De la Torre , Castilla Angel Gabriel Kuc , Talukder Ali Azam , Parvez Anowar Khasru , Dey Shuvra Kanti 
Published: August 2023

AbstractAntimicrobial and multidrug resistance (MDR) pathogens are becoming one of the major health threats among children. Integrated studies on the molecular epidemiology and prevalence of AMR and MDR diarrheal pathogens are lacking. A total of 404 fecal specimens were collected from children with diarrhea in Bangladesh from January 2019 to December 2021. We used conventional bacteriologic and molecular sequence analysis methods. Phenotypic and genotypic resistance were determined by disk diffusion and molecular sequencing methods. Fisher’s exact tests with 95% confidence intervals (CIs) was performed. Prevalence of bacterial infection was 63% (251 of 404) among children with diarrhea. E. coli (29%) was the most prevalent. E. coli, Shigella spp., V. cholerae, and Salmonella spp., showed the highest frequency of resistance against ceftriaxone (75–85%), and erythromycin (70–75%%). About 10–20% isolates of E. coli, V. cholerae and Shigella spp. showed MDR against cephem, macrolides, and quinolones. Significant association (p value < 0.05) was found between the phenotypic and genotypic resistance. The risk of diarrhea was the highest among the patients co-infected with E. coli and rotavirus [OR 3.6 (95% CI 1.1–5.4) (p = 0.001)] followed by Shigella spp. and rotavirus [OR 3.5 (95% CI 0.5–5.3) (p = 0.001)]. This study will provide an integrated insight of molecular epidemiology and antimicrobial resistance profiling of bacterial pathogens among children with diarrhea in Bangladesh.
Striped catfish (Pangasianodon hypophthalmus) exploit food sources across anaerobic decomposition- and primary photosynthetic production-based food chains
Authors: Medo Ayano , Ohte Nobuhito , Kajitani Hiroki , Nose Takashi , Manabe Yuki , Sugawara Tatsuya , Onishi Yuji , Goto Akiko S. , Koba Keisuke , Arai Nobuaki , Mitsunaga Yasushi , Kume Manabu , Nishizawa Hideaki , Kojima Daichi , Yokoyama Ayako , Yamanaka Toshiro , Viputhanumas Thavee , Mitamura Hiromichi 
Published: August 2023

AbstractDietary information from aquatic organisms is instrumental in predicting biological interactions and understanding ecosystem functionality. In freshwater habitats, generalist fish species can access a diverse array of food sources from multiple food chains. These may include primary photosynthetic production and detritus derived from both oxic and anoxic decomposition. However, the exploitation of anoxic decomposition products by fish remains insufficiently explored. This study examines feeding habits of striped catfish (Pangasianodon hypophthalmus) at both adult and juvenile stages within a tropical reservoir, using stable carbon, nitrogen, and sulfur isotope ratios (δ13C, δ15N, and δ34S, respectively) and fatty acid (FA) analyses. The adult catfish exhibited higher δ15N values compared to primary consumers that feed on primary photosynthetic producers, which suggests ingestion of food sources originating from primary photosynthetic production-based food chains. On the other hand, juvenile catfish demonstrated lower δ15N values than primary consumers, correlating with low δ34S value and large proportions of bacterial FA but contained small proportions of polyunsaturated FA. This implies that juveniles utilize food sources from both anoxic decomposition and primary photosynthetic production-based food chains. Our results indicate that food chains based on anoxic decomposition can indeed contribute to the dietary sources of tropical fish species.
Non-graphitized carbon/Cu2O/Cu0 nanohybrids with improved stability and enhanced photocatalytic H2 production
Authors: Zindrou Areti , Belles Loukas , Solakidou Maria , Boukos Nikos , Deligiannakis Yiannis 
Published: August 2023

AbstractCu2O is a highly potent photocatalyst, however photocorrosion stands as a key obstacle for its stability in photocatalytic technologies. Herein, we show that nanohybrids of Cu2O/Cu0 nanoparticles interfaced with non-graphitized carbon (nGC) constitute a novel synthesis route towards stable Cu-photocatalysts with minimized photocorrosion. Using a Flame Spray Pyrolysis (FSP) process that allows synthesis of anoxic-Cu phases, we have developed in one-step a library of Cu2O/Cu0 nanocatalysts interfaced with nGC, optimized for enhanced photocatalytic H2 production from H2O. Co-optimization of the nGC and the Cu2O/Cu0 ratio is shown to be a key strategy for high H2 production, > 4700 μmoles g−1 h−1 plus enhanced stability against photocorrosion, and onset potential of 0.234 V vs. RHE. After 4 repetitive reuses the catalyst is shown to lose less than 5% of its photocatalytic efficiency, while photocorrosion was < 6%. In contrast, interfacing of Cu2O/Cu0 with graphitized-C is not as efficient. Raman, FT-IR and TGA data are analyzed to explain the undelaying structural functional mechanisms where the tight interfacing of nGC with the Cu2O/Cu0 nanophases is the preferred configuration. The present findings can be useful for wider technological goals that demand low-cost engineering, high stability Cu-nanodevices, prepared with industrially scalable process.
Content of selected heavy metals in the umbilical cord blood and anthropometric data of mothers and newborns in Poland: preliminary data
Authors: Grzesik-Gąsior Joanna , Sawicki Jan , Pieczykolan Agnieszka , Bień Agnieszka 
Published: August 2023

AbstractThe ability to accumulate metals in organs and tissues leads to disturbances in the physiological functioning of the body, causing oxidative stress. This negatively affects the functioning of the placenta and may result in miscarriages, premature birth and fetal growth disorders. The aim of the study was to examine the relationship between the levels of selected heavy metals in umbilical cord blood and anthropometric parameters of mothers and the newborns. Content of elements in umbilical cord blood has been assessed by high-resolution inductively coupled plasma optical emission spectroscopy (ICP-OES). The study results were collected and statistically analyzed using IBM SPSS Statistics software (PS IMAGO). The Pearson correlation coefficient was used to test for associations between selected variables. Regression analysis was conducted to identify predictors of anthropometric parameters of studied women and newborns. The study group consisted of women aged 19–41, whose pregnancy was uncomplicated and were not exposed to heavy metals due to their work or smoking. The following metals were identified in all collected cord blood samples: lead (26.25 ± 9.32 µg/L), zinc (2025.24 ± 717.83 µg/L), copper (749.85 ± 203.86 µg/L), manganese (32.55 ± 13.58 µg/L), chromium (8.34 ± 2.16 µg/L) and selenium (158.46 ± 41.58 µg/L). The conducted statistical analysis indicated the relationship between the copper content in the umbilical cord blood and the weight gain of pregnant women. A significant relationship was observed between newborn head circumference and chromium content. In addition, significant positive correlations were found between the content of zinc and copper, manganese and lead, manganese and selenium, lead and selenium, and lead and chromium in umbilical cord blood. The ratio of zinc to copper concentrations was related to neonatal head circumference. Weight gain in pregnant women is positively correlated with the copper level in umbilical cord blood. There is an association between head circumference at birth and the chromium concentration in umbilical cord blood. Copper and zinc levels in umbilical cord blood are positively correlated with head circumference at birth.
Research on indoor positioning method based on LoRa-improved fingerprint localization algorithm
Authors: Chen Honghong , Yang Jie , Hao Zhanjun , Ga Macidan , Han Xinyu , Zhang Xiaotong , Chen Zetong 
Published: August 2023

AbstractTraditional fingerprint localization algorithms need help with low localization accuracy, large data volumes, and device dependence. This paper proposes a LoRa-based improved fingerprint localization algorithm-particle swarm optimization-random forest-fingerprint localization for indoor localization. The first improvement step involves creating a new exceptional fingerprint value (referred to as RSSI-RANGE) by adding the Time of Flight ranging value (referred to as RANGE) to the Received Signal Strength Indication (RSSI) value and weighting them together. The second improvement step involves preprocessing the fingerprint data to eliminate gross errors using Gaussian and median filtering. After noise reduction, the particle swarm optimization algorithm is used to optimize the hyper parameters of the random forest algorithm, and the best RSSI-RANGE value is obtained using the random forest algorithm. The Kriging method is then used for interpolation to establish an offline fingerprint database, and the final online recognition and localization are performed. Experimental results demonstrate that the first improvement step improves localization accuracy by 53–57% in different experimental scenarios, while the second improves localization accuracy by 25–31%. When both steps are combined, the localization accuracy is improved by 58–63%. The effectiveness of this method is demonstrated through experiments.
Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
Authors: Alsufyani Daniah , Lindesay James 
Published: August 2023

AbstractAs a mechanism to explore the role of environmental adaptation in establishing the optimal distribution of single nucleotide polymophisms (SNPs) within resident homeostatic populations, relationships between quantified environmental parameters and the frequencies of the variants are being explored. We have performed sequential double-blind scans on more than 30% of chromosome 3 in an attempt to discover possible relationships using simple mathematical functions that are indicative of “adaptive forces” on the variants due to specific quantified environmental agents. We have found an association of rs13071758 with rodent zoonotic diseases. This variant is within the FHIT gene, which spans the most fragile of the common fragile sites in human lymphoblasts. FHIT, which is highly sensitive to environmental carcinogens, is partially lost in most human cancers. This finding is consistent with other studies postulating an association between rodent zoonoses and cancer. We quantify the adaptive force on the T allele as 0.28 GEUs per unit of zoonotic rodent host richness.
Quality of life and severity of symptoms among patients with various degrees of reflux esophagitis: a prospective study
Authors: Mari Amir , Na’amnih Wasef , Ghantous Loay , Ahmad Helal Said , Khoury Tawfik , Muhsen Khitam 
Published: August 2023

AbstractGastro-esophageal reflux disease (GERD) can cause erosive esophagitis (EE) and compromise the quality of life (QoL). We examined differences in symptom severity and QoL according to EE severity grade. A follow-up study was conducted among GERD patients at the Nazareth Hospital in Israel. Patients underwent a baseline gastroscopy in 2014–2020 during which the EE grade was determined using the Los Angeles classification. Follow-up telephone interviews were conducted during 2019–2020 with a mean time interval of 18.9 months (SD = 14.9) after the baseline gastroscopy to assess GERD symptoms using the Reflux disease questionnaire (RDQ) and QoL using the GERD QoL questionnaire. The patients were interviewed in their native language (Arabic or Hebrew). Overall, 149 (66.4% males) patients were included; 50 had EE grades C/D and 99 had grades A/B. The mean age at baseline and follow-up was 44.6 years (SD = 15.1) and 46.2 years (SD = 14.9), respectively. Cronbach’s alpha was 0.928 and 0.855 for the RDQ and QoL questionnaires, respectively. Patients with EE C/D grades had more severe symptoms than patients with EE A/B grades (P = 0.05), especially in regurgitation scores (P = 0.03). Females had more severe symptoms (overall) than males (adjusted OR = 2.34; 95% CI 1.12–4.90). Patients with the more severe esophagitis EE C/D group (adjusted OR = 1.98; 95% CI 0.93–4.24) and those who used PPIs treatment (adjusted OR = 2.19; 95% CI 0.95–5.01) reported more severe GERD symptoms. The number of schooling years was significantly associated with better QoL score (beta coefficient 1.33, P = 0.005) but not EE grade or GERD symptoms. Follow-up endoscopy conducted among 22 patients with EE grades C/D showed that 13 (59.1%) of these patients had normal endoscopic findings, 6 patients (27.3%) had a grade A EE, 1 patient (4.5%) had grade B, and 2 (9.1%) remained with grade C EE. The Arabic and Hebrew versions of the RDQ and QoL questionnaires were highly reliable. GERD symptoms severity was more profound among patients with more severe esophagitis. No significant association between EE grade and QoL; this negative result might be due to the improvement in esophagitis endoscopic findings among patients with C/D grade.
Determinants of outpatient substance use disorder treatment length-of-stay and completion: the case of a treatment program in the southeast U.S
Authors: Baird Aaron , Cheng Yichen , Xia Yusen 
Published: August 2023

AbstractSuccessful outcomes of outpatient substance use disorder treatment result from many factors for clients—including intersections between individual characteristics, choices made, and social determinants. However, prioritizing which of these and in what combination, to address and provide support for remains an open and complex question. Therefore, we ask: What factors are associated with outpatient substance use disorder clients remaining in treatment for > 90 days and successfully completing treatment? To answer this question, we apply a virtual twins machine learning (ML) model to de-identified data for a census of clients who received outpatient substance use disorder treatment services from 2018 to 2021 from one treatment program in the Southeast U.S. We find that primary predictors of outcome success are: (1) attending self-help groups while in treatment, and (2) setting goals for treatment. Secondary predictors are: (1) being linked to a primary care provider (PCP) during treatment, (2) being linked to supplemental nutrition assistance program (SNAP), and (3) attending 6 or more self-help group sessions during treatment. These findings can help treatment programs guide client choice making and help set priorities for social determinant support. Further, the ML method applied can explain intersections between individual and social predictors, as well as outcome heterogeneity associated with subgroup differences.
Exchange interaction for the triplet superconductor UTe2
Authors: Yang Chih-Kai , Lee Chi-Hsuan 
Published: August 2023

AbstractUTe2is one triplet superconductor that defies conventional relation between ferromagnetism and superconductivity. Our search for a theoretical explanation starts with one spin-triplet state of two electrons and construct a two-particle exchange interaction that favors the formation of Cooper pairs under the configuration. A modified application of the Bardeen–Cooper–Schrieffer (BCS) theory using parameters derived from ab-initio density functional calculations for electrons and phonons enables us to derive the critical temperature of 1.64 K and an average superconducting gap of 0.25 meV at 0 K. We extend the investigation further into the superconductivity under pressure, showing howTcand the gap of UTe2change under compression in ways that are consistent with the results of experiment.
Multisecret‐sharing scheme with two‐level security and its applications in blockchain
Authors: Sharma Rajendra Kumar , Sarma Ritumoni , Arora Neha , Sagar Vidya 
Published: August 2023

AbstractA ‐threshold secret sharing and multisecret‐sharing scheme based on Shamir's secret sharing scheme are introduced with two‐level security using a one‐way function. Besides, its application in a smart contract‐enabled consortium blockchain network is discussed. The proposed scheme is thoroughly examined in terms of security and efficiency. Privacy, security, integrity, and scalability are also analyzed while applying it to the blockchain network.
Adaptive weighted federated Kalman filtering based on Mahalanobis distance and its application in navigation
Authors: Gao Yi , Gao Zhaohui , Zong Hua , Gao Shesheng , Hong Genyuan 
Published: August 2023

AbstractDue to the federal Kalman filter is used to directly fuse the measurement information into the main filter without processing, resulting in the problem of reduced filtering accuracy. An adaptive weighted federated Kalman filtering based on Mahalanobis distance was proposed in this paper. By calculating the Mahalanobis distance between the predicted value and the measurements of the system, the random fluctuation of the measurements is detected. The statistical characteristics of the system measurement noise are adjusted at any time according to random fluctuations in the measurements. And then by using a adaptive amplification factor to dynamically adjust the measurement noise in the subsystems, and reduce the impact of measurement information contamination in subfilters on the main filter. The adaptive federated information distribution coefficient is used to realize the global information fusion of the federal Kalman filter method, to reduce the influence of inaccurate estimation of subfilters on the main filter.Simulation results and comparison analysis prove that the filtering performance of the proposed is better than the traditional federated Kalman filter (FKF) and adaptive FKF, which can improve the accuracy of the integrated navigation system.
Detecting safe operational regimes of synchronous motor‐generator pair for wind integration: A non‐linear perspective
Authors: Tanna Rajesh , Mohan Vivek , Ennappadam Ananthanarayanan Gopalakrishnan , Thirumala Karthik 
Published: August 2023

AbstractIn this article, the stability of a synchronous motor generator pair (SMGP) used for improving the inertia of grid‐connected renewable energy systems is investigated. The useful operational regime for different sets of system parameters is identified, such as electromagnetic torque, damping co‐efficient, and inertia by employing bifurcation analysis to detect stability boundaries. For the first time, the existence of bi‐stable regimes for the SMGP with non‐linear stability analysis is revealed. The authors' analysis unravels the possibility of the system getting transited to unsafe operation even when the system is in the linearly stable region. The existence of the bistable regime indicates the possibility of the system becoming unstable even when the eigenvalues are in the left half plane. The authors also identify globally stable and globally unstable regimes in the parameter space. The safe operating range of inertia and damping co‐efficient values helps in the design of a suitable MGP set that is robust to frequency deviations, even with a low inertia source. With the recommended values of electromagnetic torque, the authors' analysis provides a safe operational regime for power generation from renewable energy sources.
Sensitivity evaluation of miniature microstrip line‐based sensors using multiple sensing parameters for non‐invasive blood glucose monitoring
Authors: Afshari Nazanin , Hashemi Seyed Mohammad , Geran Fateme 
Published: August 2023

AbstractA number of high‐sensitivity microwave sensors with compact resonators are designed, fabricated, and tested for non‐invasive blood glucose monitoring. In the first step, a split ring resonator (SRR)‐based sensor is designed, and then it’s sensing parameters, viz. the reflection coefficient magnitude and phase coupled with its input impedance, are extracted and calibrated by different glucose solutions. The results of this structure are subsequently saved as a reference sensor. During the second step, the swastika‐shaped and electric‐LC (ELC) geometries are substituted for the SRR to enhance the sensitivity of the reference sensor, and the sensing parameters of these structures, which are sensitive to the glucose solutions, are obtained. In the third step, the sensitivity of the three proposed designs is calculated and compared, using the reflection coefficient amplitude, phase, and input impedance. The comparisons typically demonstrate that the sensitivity of the swastika‐shaped structure is equal to 148.367 (Ω/mgmL−1) if the sensitivity is acquired from the imaginary part of the input impedance, which is better than the SRR and ELC geometries. On the contrary, the sensitivity of the SRR geometry is at a maximum and equal to 16.79 (deg/mgmL−1) if the sensitivity is calculated in terms of the reflection coefficient phase.
A beginner's guide to infrastructure‐less networking concepts
Authors: Förster Anna , Dede Jens , Könsgen Andreas , Kuladinithi Koojana , Kuppusamy Vishnupriya , Timm‐Giel Andreas , Udugama Asanga , Willig Andreas 
Published: August 2023

AbstractInfrastructure‐less networks connect communication devices end‐to‐end by managing links and routes independent of fixed networking facilities, relying on dedicated protocols running on end‐user devices. The large variety of infrastructure‐less concepts and related aspects can be confusing both for beginning Ph.D. students as well as experienced researchers who wish to get an overview of neighbouring areas to their own research foci. Frequently discussed topics such as different types of sensor‐, vehicular‐, or opportunistic networks are covered. The authors describe different networking concepts by looking at aspects such as the main properties, common applications, and ongoing research. Furthermore, the concepts by common characteristics such as node mobility, network density, or power consumption are compared. The authors also discuss network performance evaluation by describing commonly used metrics, different evaluation techniques, and software tools for simulation‐based evaluation. The references given in each section help obtain in‐depth information about the presented topics and give hints about open research questions, which can be a starting point for own investigations.