A One Health information database based on standard bibliometric analysis

Background:One Health is an integrated concept of health that aims to optimize the health of humans,animals,plants,and the environment.Identifying research gaps and specific expertise areas is important for understanding the role of One Health in practice.This information on One Health could be used to promote collaboration and research,inspire innovative ideas,and accelerate the translation of evidence-based practices into policies.Methods:We searched the Scopus database for publications related to One Health between 2012 and 2021 to extract bibliometric information and investigate the possibility of establishing a dedicated expertise database.We matched scholarly information using SciVal to exclude duplicate information and identify scholars’affiliations,countries,and academic profiles.Individual academic contributions to One Health were evaluated according to their citations,publication impact,publication type,and author contributions.Results:A total of 8,313 publications on One Health over a ten-year period were identified,with the number of publications increasing over time.The largest number of publications came from the United States and the United Kingdom.These countries also had the highest number of experts and a high level of international collaboration.We identified 500 scholars from 53 countries and 313 affiliations with a median Hirsch Index of 20 who could be included in a One Health expert database.These scientists had a median of six publications on One Health,with topics mostly focusing on dengue and antimicrobial resistance.Conclusion:A One Health information database could be used as a third-party reference for scholars,a source to track the ongoing academic progress,and support for active scholars in this field of research.

Observation and mitigation of image distortion in high-energy electron radiography

Image distortion caused by the angular misalignment of quadrupole magnets in high-energy electron radiography has been studied systematically.We propose that the distortion originates from the coupling of the electron motions in the transverse directions,based on a theoretical analysis and the transfer-matrix method.The relative angular rotation between the second and third magnetic quadrupoles was identified as the main contributor to image distortion.This was verified by both a beam-dynamics simulation and experiments.Different strategies to mitigate this image distortion are also explored,including magnets online tuning,higher beam energy and larger magnification factor.This study provides criteria for designing experiments and paves the way for achieving higher image precision.

Corrigendum to‘A One Health information database based on standard bibliometric analysis’[Science in One Health 1(2022)100012]

Following publication of the original article[1],it was found the number of countries with identified One Health publications was incorrectly shown in Table 2,Supplementary data-Multimedia component 3(Table-S2),corresponding text and Fig.3,which should be corrected to 178.The number of countries with 500 One Health experts identified should be corrected to 53 in the abstract.

Gradual or Hysteretic Transition:Anion Effects on Cobalt(II)Spin Crossover Complexes

Comprehensive Summary To better understand the impact of different anions on the structures and SCO properties of the CoII SCO complexes,six new complexes[Co(terpy-CH_(2)OH)_(2)]A_(2)·sol(terpy-CH_(2)OH=4′-(hydroxymethyl)-2,2′;6′,2″-terpyridine,A=Br^(–)(1,sol=1.5H_(2)O),I^(–)(2),N_(3)^(–)(3,sol=2H_(2)O),H_(3)BCN^(–)(4),OTf^(–)(5),and TsO^(–)(6,sol=4H_(2)O·CH_(3)CN),have been synthesized and characterized.All six compounds consist of mononuclear[Co(terpy-CH_(2)OH)_(2)]^(2+)cations and charge-balancing anions that differ in size,shape,and hydrogen bonding capacity.Complexes 1,2,3,and 6 displayed incomplete gradual SCO transitions,whereas 4 and 5 exhibited abrupt hysteretic spin transitions with loops of 12 and 16 K(250.0—262.0 K for 4,and 370.0—386.0 K for 5,respectively),closely resembling our previously reported complexes with SCN^(–)and SeCN^(–)anions.The occurrence of the order-disorder transition of the CH2OH groups and their transition temperatures are determined by the size and hydrogen bonding capability of the anions.Remarkably,the transition temperatures of complexes with H_(3)BCN^(–),SCN^(–),OTf^(–),and SeCN^(–)anions exhibit an upward trend as the size and mass of the anions increase,as confirmed through detailed single crystal structure analyses conducted in both high-spin and low-spin states for all four complexes.

2D Naphthalenedisulfonate-cadmiun coordination polymer with2,4,5-tri(4-pyridyl)-imidazole as a co-ligand:Structure and catalytic property

A new 2D coordination polymer, [Cd（tpim）（1,5-nds）]n （1）, was constructed from 1,5-naphthalenedi- sulfonate （1,5-nds）. 2.4,5-tri（4-pyridyl）-imidazole （tpim） and Cd（CH3COO）2.2H2O, which can be subsequently used to promote the epoxide ring-opening reaction of epoxides and amines with remarkable catalytic activity. In addition, the thermal and luminescent properties of I in the solid state were also investigated.

Development of Single-Molecule Magnets

Single-molecule magnets(SMMs)are paramagnetic molecules that can be magnetized below a certain temperature and have potential applications in high-density information storage,magnetic-qubits,spintronic devices,etc.The discovery of the first SMM,Mn12,opened a new era of molecular magnetism and promoted collaborative researches between chemists and physicists for their exotic quantum as well as classical magnetic properties.In the recent past,great efforts have been madefto develop strategies for constructing new SMMs with high energy barriers(Ueff)and blocking temperatures(Tb), resulting in great and fast development of SMMs.In this concise review,we highlight the main synthetic approaches and representative results in the design and synthesis of high performance.SMMs.We hope to give the readers a basic understanding of SMMs and a snapshot of the representative researches on SMMs from a perspective of synthetic chemists.

A Three-Dimensional Mn^Ⅱ-[Mo^Ⅲ(CN)7]^4-Ferrimagnet Containing Formate as a Second Bridging Ligand

Summary of main observation and conclusion Serf-assembly of the [Mo(CN)7]^4-anion and the Mn^2+ ion in the aqueous solution containing ammonium formate results in a new coordination polymer,{(NH4)3[(H2O)Mn3(HCOO)][Mo(CN)7]2·4H2O}n.Single crystal X-ray analysis revealed a very complicated three-dimensional (3D)framework,where both the [Mo(CN)7]^4- and the formate anions act as bridges between the Mn^Ⅱ centers.Magnetic measurements revealed that this compound displays ferrimagnetic ordering below 70 K.Competing antiferromagnetic interactions between the spin carriers might lead to spin frustration and non-linear alignment of the magnetic moments.Specifically,this compound is the first mixed [Mo(CN)7]^4-/HCOO^- bridged molecule magnet.

Fine-Tuning of Structural Distortion and Magnetic Anisotropy by Organosulfonates in Octahedral Cobalt(Ⅱ)Complexes

Precise modulation of the magnetic anisotropy of metal ions remains highly important for the development of high–performance single-molecule magnets(SMMs).We herein reported the synthetic,structural,spectral,magnetic,and computational studies on four mononuclear Co^(Ⅱ) complexes in a distorted octahedral environment.The change of the organosulfonate anions triggers significant modification of the distorted octahedral CoN6 coordination sphere,which enables us to tackle the influence of the structural distortion on the magnetic anisotropy in these complexes.Magnetic measurements revealed that the four complexes possess easy–plane magnetic anisotropy with large and positive zero-field splitting parameters,which decrease with the increasing distortion of the pseudo–octahedral Co^(Ⅱ) coordination geometry.This correlation was further confirmed by high–frequency/–field EPR(HF–EPR)spectra and theoretical calculations.Dynamic magnetic susceptibility measurements indicate that these complexes both exhibit slow magnetic relaxation under an external dc field,indicating the field-induced single-ion magnets(SIMs)of the four complexes.These results indicate that structural distortion plays an important role in the magnetic anisotropy of CoⅡcomplexes and should be carefully considered in the design of molecular complexes with high magnetic anisotropy.

Mechanism of Chinese herbal formula QHF against breast cancer MCF-7 cells invasion and migration

Objective： To investigate the effects of Chinese herbal formula Qinghuofu（QHF） on the migration and invasion of breast cancer MCF-7 cells and its possible molecular mechanisms, thereby providing a theoretical basis to find effective anti-cancer medicine and therapeutic targets for the treatment of anti-migration and anti-invasion of breast cancer.Methods： Breast cancer MCF-7 cells were treated with different QHF and other different reagents, CCK8 assay was used to detect the influence of the reagents on the proliferation of MCF-7 cells; Scrape migration and Transwell assay were used to quantitatively determine the migration and invasion effects of QHF and hepatocyte growth factor（HGF） on the MCF-7 cells. Subsequently, the c-Met inhibitor and its downstream ERK and PI3 K inhibitors were used to investigate the relationship between the migration and invasion of MCF-7 cells, as well as its downstream MAPK/ERK and PI3 K/Akt signaling pathways. The expression levels of HGF, c-Met, ERK, p-Akt, p-c-Met, p-ERK, p-Akt, MMP2, MMP9, and VEGF in breast cancer MCF-7 cells treated with QHF and other reagents were also examined.Results： The result indicated that formula QHF not only significantly inhibited the proliferation of MCF-7 cells, but also significantly suppressed the effects of HGF（40 ng/m L） on the proliferation and movement of MCF-7 cells, reducing the ability of the cells to invade and migrate. Western blot analysis indicated that QHF and c-Met inhibitor significantly decreased the expression of p-c-Met, p-ERK1, p-ERK2, p-Akt, MMP-2, MMP-9, and VEGF, while HGF significantly increased the expression of p-c-Met in MCF-7 cells; c-Met downstream ERK and PI3 K inhibitors also significantly decreased the expression of MMP-2, MMP-9, and VEGF in MCF-7 cells; But the difference among c-Met, PI3 K, ERK, and QHF group were not statistically significant.Conclusion： QHF can prevent the proliferation, migration, and invasion of MCF-7 cells by inhibiting the HGF/c-Met and its downstream PI3 K/Akt and MAPK/ERK signaling pathways; Thereby down-regulating the expression of HGF, p-Met, p-ERK1, p-ERK2, p-Akt, MMP-2, MMP-9, and VEGF.

Systematic Investigation of Solution-State Aggregation Effect on Electrical Conductivity in Doped Conjugated Polymers

The mesoscopic solution-state aggregation plays a dominant role in the multilevel self-assembly of conjugated polymers.However,its effect on solid-state microstructures and the electrical performance of conjugated polymers is still a puzzle due to the limitation of characterization techniques.Herein,we have developed four isoindigo-based conjugated polymers with varied alkyl chains to reveal the relationship between solution-state aggregation,molecular doping process,and charge transport properties.

Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images

Background China is progressing towards the goal of schistosomiasis elimination,but there are still some problems,such as difficult management of infection source and snail control.This study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine,which is an intermediate source of Schistosoma japonicum infection,and to evaluate the effectiveness of the models for real-world application.Methods The dataset of livestock bovine’s spatial distribution was collected from the Chinese National Platform for Common Geospatial Information Services.The high-resolution remote sensing images were further divided into training data,test data,and validation data for model development.Two recognition models based on deep learning methods(ENVINet5 and Mask R-CNN)were developed with reference to the training datasets.The performance of the developed models was evaluated by the performance metrics of precision,recall,and F1-score.Results A total of 50 typical image areas were selected,1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN model.For the ENVINet5 model,a total of 1598 records of bovine distribution were recognized.The model precision and recall were 81.9%and 80.2%,respectively.The F1 score was 0.81.For the Mask R-CNN mode,1679 records of bovine objectives were identified.The model precision and recall were 87.3%and 85.2%,respectively.The F1 score was 0.87.When applying the developed models to real-world schistosomiasis-endemic regions,there were 63 bovine objectives in the original image,53 records were extracted using the ENVINet5 model,and 57 records were extracted using the Mask R-CNN model.The successful recognition ratios were 84.1%and 90.5%for the respectively developed models.Conclusion The ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples.The Mask R-CNN model has a good framework design and runs highly efficiently.The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock,which could enable precise control of schistosomiasis.

Publishing clinical prActice GuidelinEs(PAGE):Recommendations from editors and reviewers

Transparency Ecosystem for Research and Journals in Medicine(TERM)working group summarized the essential recommendations that should be considered to review and publish a high-quality guideline.These recommendations from editors and reviewers included 10 components of essential requirements:systematic review of existing relevant guidelines,guideline registration,guideline protocol,stakeholders,conflicts of interest,clinical questions,systematic reviews,recommendation consensus,guideline reporting and external review.TERM working group abbreviates them as PAGE(essential requirements for Publishing clinical prActice GuidelinEs),and recommends guideline authors,editors,and peer reviewers to use them for high-quality guidelines.