bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and epidemiologic features of SARS-CoV-2 in dogs and cats compiled through national surveillance in the United States
Authors: Liew Amanda Y. , Carpenter Ann , Moore Taylor A. , Wallace Ryan M. , Hamer Sarah A. , Hamer Gabriel L. , Fischer Rebecca S.B. , Zecca Italo B. , Davila Edward , Auckland Lisa D. , Rooney Jane A. , Killian Mary Lea , Tell Rachel M. , Rekant Steven I. , Burrell Sierra D. , Ghai Ria R. , Behravesh Casey Barton , Group* Companion Animals Working 
Published: September 2022

Abstract
Objective
To characterize clinical and epidemiologic features of SARS-CoV-2 in companion animals detected through both passive and active surveillance in the U.S.

Animals
204 companion animals (109 cats, 95 dogs) across 33 states with confirmed SARS-CoV-2 infections between March 2020 and December 2021.

Procedures
Public health officials, animal health officials, and academic researchers investigating zoonotic SARS-CoV-2 transmission events reported clinical, laboratory and epidemiological information through a standardized One Health surveillance process developed by CDC and partners.
Results
Among dogs and cats identified through passive surveillance, 94% (n=87) had reported exposure to a person with COVID-19 before infection. Clinical signs of illness were present in 74% of pets identified through passive surveillance and 27% of pets identified through active surveillance. Duration of illness in pets averaged 15 days in cats and 12 days in dogs. The average time between human and pet onset of illness was 10 days. Viral nucleic acid was first detected at 3 days post exposure in both cats and dogs. Antibodies were detected starting 5 days post exposure and titers were highest at 9 days in cats and 14 days in dogs.
Conclusions and Clinical Relevance
Our data support that cats and dogs primarily become infected with SARS-CoV-2 following exposure to a person with COVID-19, most often their owners. Case investigation and surveillance that includes both people and animals is necessary to understand transmission dynamics and viral evolution of zoonotic diseases like SARS-CoV-2.
A Biomimetic Microfluidic Selection Platform Providing Improved Sperm Quality Metrics Compared to Swim-Up
Authors: Warkiani Majid Ebrahimi , Vasilescu Steven , Ding Lin , Parast Farin Yazdan , Nosrati Reza 
Published: September 2022

Abstract
Sperm Selection is an essential component of all Assisted Reproductive Treatments (ART), and is by far and large the most neglected step in the ART workflow when it comes to technological innovation. Conventional sperm selection methodologies typically produce a higher total number of sperm with variable motilities, morphologies and levels of DNA integrity; Gold-standard techniques Density Gradient Centrifugation (DGC) and Swim Up (SU) have been proven to induce DNA fragmentation through the introduction of reactive oxygen species (ROS) during centrifugation. Here, we demonstrate a 3D printed, biologically inspired microfluidic sperm selection device (MSSP) that utilizes multiple methods to simulate a sperms journey towards selection. Sperm are first selected based on their motility and boundary following behavior, then on their expression of apoptotic markers, yielding over 68% more motile sperm than previously reported methods within a lower incidence of DNA fragmentation and apoptosis. Sperm from the MSSP also demonstrated higher motile sperm recovery after cryopreservation than SU or neat semen. Experiments were conducted side-by-side against conventional SU methods using human semen (n = 33) and showed over an 85% improvement in DNA integrity with an average 90% reduction in sperm apoptosis. These results demonstrate an easy-to-use platform for sperm selection mimicking the biological function of the female reproductive tract during conception.
Near Zero Power Smart Material that Senses, Computes, and Actuates
Authors: Alsaleem Fadi , Nikfarjam Hamed , Megdadi Mohammad , Okour Mohammad , Pourkamali Siavash 
Published: September 2022

Abstract
This paper presents integrated silicon-based material that can be configured to sense, perform different classification algorithms through neural computing, and produce an action signal all at the same physical layer. The algorithms will be coded in the mechanical responses of the sensing elements of multiple coupled micro-electro-mechanical systems (MEMS) that also simultaneously capture acceleration measurements to produce an actuated signal. This all-in-one smart material consumes near zero power and runs with zero circuitry. As a demonstration, a material made of three MEMS neurons is designed and fabricated to perform successfully both simple signal classification and activity recognition problems. This smart material will enable emergent technologies such as soft robotics and wearable devices to locally perform complex computations powered by permanent batteries.
Regions of high biodiversity value preserve Nature's Contributions to People under climate change
Authors: Cimatti Marta , Chaplin-Kramer Rebecca , Marco Moreno Di 
Published: September 2022

AbstractIncreasing human pressures are driving a global loss of biodiversity and Nature’s Contributions to People (NCP). Here, we estimated how preserving regions of high biodiversity value could reduce the risk of diminishing the provision of NCP. We analysed the impact of four different scenarios of climate change on the regulation of air quality (NCP3), climate (NCP4) and freshwater quantity (NCP6). For each indicator, we evaluated whether risk from environmental change is higher or lower within high biodiversity value regions, compared to control areas. We find higher present and future NCP levels within biodiversity regions, for all indicators. Moreover, air quality and climate regulation indicators will have higher values within biodiversity regions than outside, especially under higher emission scenarios. Understanding the spatial relationship between NCP and biodiversity, and their potential conservation synergies, is essential for sustaining human well-being and securing Earth’s life support systems. Identifying the relative contribution of high biodiversity areas to NCP provision reveals potential synergies between multiple SDGs are substantial.
Approximation-free design for distributed formation tracking of networked uncertain underactuated surface vessels under fully-quantized environment
Authors: Yoo Sung Jin , Park Bong Seok 
Published: September 2022

Abstract
Distributed formation tracking results have been studied in the literature for networked underactuated surface vessels (NUSVs) at the dynamic level. The distributed formation tracker design of NUSVs under fully-quantized environment remains an open problem. This paper provides a solution to this problem in the low-complexity prescribed performance control framework without the help of any adaptive approximation tools. State variables and underactuated control inputs of followers are quantized and communicated under a directed network. Distributed formation controllers using quantized state feedback signals are constructed for NUSV followers. The design conditions that lead to establishing prescribed performance of local tracking errors in the presence of state and input quantization are newly derived via distributed quantization errors. It is shown from the recursive analysis of closed-loop quantization errors that although all states and inputs of followers and the communicated position information under a directed network are quantized, the prescribed performance of the presented formation system is ensured.
Revealing measurement-induced phase transitions by pre-selection
Authors: Buchhold Michael , Mueller Thomas , Diehl Sebastian 
Published: September 2022

Abstract
Pushing forward the understanding of general non-unitary dynamics in controlled quantum platforms has been fueled by the recent discovery of measurement-induced phases and phase transitions. So far, these transi- tions remained largely elusive, since they are masked in standard quantum mechanical observables due to the randomness of measurement outcomes. Here, we establish a general scheme – pre-selection – to make them observable: The outcome randomness is broken explicitly by steering the system towards a representative state, which corresponds to one out of exponentially many possible measurement outcomes. Remarkably, this steer- ing can be chosen so gently that the basic properties of the underlying measurement-induced transition, such as entanglement structure and critical exponents, are not modified. Pre-selection introduces a unique dark or absorbing state with macroscopic order, replacing the maximally mixed stationary state of the unconditioned measurement trajectory ensemble. This creates a link of measurement-induced phase transitions to new forms of quantum absorbing state transitions, which can be detected by standard means via a local order parameter. This insight further enables a quantum simulation strategy, determining the underlying universality class in state-of-the-art quantum platforms without measurement readout.
Obesity at age 20 and weight gain during adulthood increase risk of total and premature all-cause mortality: Findings from women attending breast screening in Manchester
Authors: Pegington Mary , Harvie Michelle , Harkness Elaine F , Brentnall Adam , Malcomson Lee , Southworth Jake , Fox Jill , Howell Anthony , Cuzick Jack , Evans D Gareth 
Published: September 2022

Abstract
Background
Obesity in early adulthood is associated with lower breast cancer rates in later life. We examined the association between both obesity in early adulthood and body mass index (BMI) change through adulthood, and all-cause mortality.
Methods
The Predicting Risk of Cancer At Screening (PROCAS) study recruited 57 902 women aged 46-73y (median age 57.2, IQR 51.8–63.7 years) from the Greater Manchester NHS breast screening programme between 2009 and 2015. It was used to assess associations between BMI at 20y and cohort entry with all-cause mortality ascertained via deaths recorded on the National Breast Screening System to June 2020. Hazard ratios were estimated using proportional hazards (Cox) regression adjusted for factors at entry to the cohort: age, deprivation, bilateral oophorectomy, hormone-replacement therapy, menopausal status, ethnicity, alcohol intake, physical activity, and BMI.
Results
The prevalence of overweight (25-30kg/m2) and obesity (> 30km/m2) were 10.4% and 2.5% at 20y, increasing to 35.2% and 25.9% at cohort entry. After a mean 8.7y follow-up we observed that overweight and obesity at 20y had a higher mortality rate compared with healthy weight (HRs respectively 1.27, 95%CI = 1.10–1.47; 2.11, 1.67–2.66). Women who were underweight/healthy weight at 20y and gained weight to obesity at entry had a slightly increased mortality rate compared with women who were underweight/healthy weight at both time points (HR 1.16, 95%CI = 1.02–1.32). Women with overweight or obesity at both 20y and entry had a higher mortality rate than women who were underweight/healthy weight at both points (HRs respectively 1.36, 95%CI = 1.06–1.75; 1.90, 95%CI = 1.45–2.48).
Conclusions
Women who self-reported overweight and obesity at 20y had a shorter life expectancy in this cohort of women attending breast cancer screening. Weight gain from 20y was common in this group. Girls and women should be supported to maintain a healthy weight throughout the lifespan to help increase life expectancy. Trial registration number NCT04359420, retrospectively registered 24/04/2020.
Serum Glucose and Electrolyte Levels in Children with and without Febrile Seizures: A case-control study
Authors: Mohamed Zakaria Ahmed , Tang Chunjiao , Thokerunga Erick , Jimale Ali Omar , Fatima Uroosa , Fan Jingyi 
Published: September 2022

Abstract
Background

Febrile seizures (FS) occur in children aged six to sixty months with a febrile illness not associated with a central nervous system infection or metabolic disorder. Risk factors include; age, history of the disease, certain vaccinations, or iron and zinc deficiencies. Studies show significant hyponatremia, hypocalcemia, and hyperkalemia in children with febrile seizures. Similarly cerebrospinal fluid hyperglycemia is common in febrile convulsions. This study aimed to retrospectively assess the relationship between febrile seizures, and electrolyte & glucose imbalance among children with fever, and also compare the annual trends of febrile seizure-related admissions pre and post Covid 19 pandemic.

Methods

A case-control study was conducted from January 2018 to January 2022 at Zhongnan Hospital of Wuhan University, Hubei, China. 876 children aged 6 to 60 months were divided into 438 cases with febrile seizures (cases) and 438 with fever but without seizures (controls). Serum glucose and electrolyte levels at the time of hospitalization as well as age, gender, birth weight, gestational age, temperature, and causes of fever, in both groups were retrieved, analyzed and compared.

Results

Febrile seizures admissions among children aged 6-60 months was significantly reduced to less than 23.4% during the Covid-19 pandemic. Children with febrile seizures had significantly higher serum glucose levels than those with fever but without seizures (P < 0.001). The serum sodium levels of children with seizures were significantly lower than those without seizures (P < 0.001). Sodium levels were significantly lower among children with complex seizures (P=0.018). There was no significant difference in the serum electrolyte levels of potassium and calcium between the cases and controls (p>0.05). A binary logistic regression analysis revealed a significant correlation between glucose and sodium levels and febrile seizures (P<0.001).

Conclusion

The study found that admission rates for febrile seizures decreased during Covid-19 and higher glucose or lower sodium levels are risk factors for febrile seizures.
Isolation and genomic characterization of metal-resistant Stenotrophomonas maltophilia SRM01 from the marine environment
Authors: Majumdar Rikhia , Mohandass Ramya , Manickam Ranjani , Dharshini Rajathirajan Siva , Sugumar Shobana 
Published: September 2022

Abstract
Stenotrophomonas maltophilia is an emerging global opportunistic pathogen that has been intensively studied for its antibiotic resistance and capacity to cause nosocomial and community-acquired infections. Interestingly, S. maltophilia has already been discovered to tolerate a high concentration of cadmium, selenium, and tellurium. This study showed that this bacterium could survive high doses of heavy metals in various heavy metal salt-containing nutritional media: CdCl2 up to 1 mM, Pb (NO3)2 up to 10 mM, FeSO4 up to 10 mM, CuSO4 and ZnCl2 up to 5 mM. Intriguingly, the genomic investigation performed within this study identified the probable genes involved in metal resistance. The genomic data were mapped to uncover possible metal resistance mechanisms in S. maltophilia. The entire genome length of strain SRM01 is 4,968,240 bp, with a GC content of 66%, according to the annotation processes. There were 1659 coding sequences attributed to putative proteins and 4621 coding sequences attributed to recognized functions. Various metal resistance mechanisms which encode gene clusters such as czc, cop, cus, and zur and are critical for the bacteria’s survival in hostile environments were discovered in the S. maltophilia SRM01 strain. Genomic island prediction and phylogenetic tree analysis of the genome and targeted metal resistant genes revealed that metal resistant genes could be transferred by horizontal gene transfer across the species of S. maltophilia.
Inhibition of salt inducible kinase 2 expression by N1-guanyl-1,7-diamineoheptane suppresses nuclear localization of γ-tubulin and phosphorylated eukaryotic translation initiation factor 4E binding protein 1 (Ser 65)
Authors: Park Jong Hwan , Lee Grace Kelly , Kim Hae-Yeong 
Published: September 2022

Abstract
Background: Salt inducible kinase 2 (SIK2) is a serine / threonine kinase belonging to the AMP-activated protein kinase (AMPK) family. Eukaryotic translation initiation factor 5A (eIF5A) hypusine promotes translation of polyproline motifs. Here, we report the attenuated protein level of SIK2 containing a proline repeat motif (carboxyl-terminal domain; 823-PPPPPPPPPP-832) when ES2 cells are treated with the eIF5A hypusination inhibitor N1-guanyl-1,7-diamineoheptane (GC7).
Methods and Results: Analysis of GC7’s effects using western blotting and dual luciferase assay showed a significant decrease in the activity of SIK2 proline repeat motif-luciferase reporter upon a decrease in the eIF5A hypusine level in a GC7 dose-dependent manner. Cell survival analysis using MTT assay revealed that 5~50 μM GC7 treatment had no significant effect on the viability of ovarian cancer cells. Based on pull-down experiments, we identified 4E-BP1 (or p4E-BP1, Ser 65) as a binding partner of SIK2 and revealed that the interaction between SIK2 and p4E-BP1 (Ser 65) is inhibited by GC7 or SIK2 siRNA. Immunofluorescence and functional studies (cell migration and clonogenic assay) revealed that inhibition of the SIK2/p4E-BP1 (Ser 65) pathway by GC7 treatment reduced the nuclear localization of γ-tubulin / p4E-BP1 (Ser 65), migration, and clonogenicity, just as it was decreased by SIK2 or 4E-BP1 gene silencing. Immunohistochemical staining showed that expression of p4E-BP1 (Ser 65) was higher in ovarian high-grade serous tumor tissue than in normal tissue.
Conclusions: Inhibition of the oncogenic role of SIK2-mediated p4E-BP1 (Ser 65) through eIF5A-hypusin inhibition by GC7 has the potential to be a promising therapeutic target for suppression of various cancers, including ovarian cancer.
Psychometrics of the Chinese Version of the Structured Interview of Personality Organization (STIPO-CH)
Authors: Wang Yang , Li Zirong , Zhong Jie 
Published: September 2022

Abstract
Background
The psychodynamic concept of personality organization was originally proposed by Kernberg that measures personality pathology from a dimensional approach, which can be evaluated by the Structured Interview of Personality Organization (STIPO) from six domains (i.e., Identity, Object Relations, Primitive Defenses, Coping vs Rigidity, Aggression, and Moral Values). The present study developed and revised the Chinese version of STIPO (STIPO-CH) and evaluated its psychometrics.
Methods
STIPO-CH was administered to 49 participants from a community sample. They also completed the Chinese version of the Inventory of Personality Organization and The Millon Clinical Multiaxial Inventory to evaluate criterion-related reliability. An exploratory factor analysis was carried out to explore the structure of STIPO-CH and its internal consistency. Interrater reliability was assessed with intraclass correlations.
Results
Interrater reliability (intraclass correlations) ranged from 0.98 to 0.99. After deleting 22 items, results suggested acceptable to good internal consistency for Identity, Object Relations, and Moral Values. Correlations between STIPO-CH domains and self-report questionnaires indicated acceptable to good construct validity and criterion-related validity.
Conclusions
Overall, STIPO-CH demonstrates promising psychometrics to be applied in research and clinical settings. Future research is recommended since this research may be limited by the size and variability of the sample.
Response of cross-correlations between high concentrations of PM 2.5 and O 3 at different time scales to the COVID-19: two trends in BTH and PRD
Authors: Bao Bingyi , Li Youping , Liu Chunqiong , Wen Ye , Shi Kai 
Published: September 2022

Abstract
The air pollution in China currently is characterized by high concentrations of fine particulate matter (PM2.5) and ozone (O3). Compared with single high pollution events, these double high pollution (DHP) events (both PM2.5 and O3 are above the National Ambient Air Quality Standards (NAAQS) ) pose a greater threat to public health and environment. However, the studies on the temporal evolution and spatial differences of PM2.5-O3 DHP events is not comprehensive. In 2020, the outbreak of COVID-19 provided a special time window to further understand the cross-correlation between PM2.5 and O3 deeply and thus provide theoretical support for the formulation of regional coordinated control strategies. In this paper, a novel method detrended cross-correlation analysis based on maximum time series of variable time scales (VM-DCCA) is established to compare the cross-correlation between high concentrations of PM2.5 and O3 in Beijing-Tianjin-Heibei (BTH) and Pearl River Delta (PRD) at different time scales. As a result, through DCCA, there is a long-term persistent behavior about the cross-correlation between PM2.5 and O3. Firstly, compared with non COVID-19 period, the PM2.5-O3 DCCA exponents decrease by 4.40% and 2.35% in BTH and PRD respectively during COVID-19 period. Further, through VM-DCCA, the VM-DCCA exponents in PRD weaken rapidly with the increase of time scales, and the decline range are about 23.53% and 22.90% at 28-hour time scale during the non COVID-19 period and COVID-19 period respectively. BTH is completely different. Without significant tendency, its VM-DCCA exponents is always higher than that in PRD at different time scales, which also suggests that the coordinated control of PM2.5 and O3 in BTH is more difficult than that in PRD. Finally, we consider the above results are manifestation of the self-organized criticality (SOC) theory of atmospheric system. The impact of meteorological conditions and atmospheric oxidation capacity (AOC) variation during the COVID-19 period on SOC state are further discussed.
Simultaneous loading of PCR-based multiple fragments on mouse artificial chromosome vectors in DT40 cell for gene delivery
Authors: Yamazaki Kyotaro , Matsuo Kyosuke , Okada Akane , Uno Narumi , Suzuki Teruhiko , Abe Satoshi , Hamamichi Shusei , Kishima Nanami , Togai Shota , Tomizuka Kazuma , Kazuki Yasuhiro 
Published: September 2022

Abstract
Homology-directed repair-mediated knock-in (HDR-KI) in combination with CRISPR-Cas9-mediated double strand break (DSB) leads to high frequency of site-specific HDR-KI. While this characteristic is advantageous for generating genetically modified cellular and animal models, HDR-KI efficiency in mammalian cells remains low. Since avian DT40 cells offer distinct advantage of high HDR-KI efficiency, we expanded this practicality to adapt to mammalian research through sequential insertion of target sequences into mouse/human artificial chromosome vector (MAC/HAC). Here, we developed the simultaneous insertion of multiple fragments by HDR method termed the simHDR wherein a target sequence and selection markers could be loaded onto MAC simultaneously. Additionally, preparing each HDR donor containing homology arm by PCR could bypass the cloning steps of target sequence and selection markers. To confirm the functionality of the loaded HDR donors, we constructed a MAC with human leukocyte antigen A (HLA-A) gene in the DT40 cells, and verified the expression of this genomic region by reverse transcription PCR (RT-PCR) and western blotting. Collectively, the simHDR offers a rapid and convenient approach to generate genetically modified models for investigating gene functions, as well as understanding disease mechanisms and therapeutic interventions.