Scientific Reports即将截止的特刊征稿八月辑 | 寻找更匹配您的投稿方向

客座编辑：Mikiko Fujita, Sultan Kocaman, Neelima Satyam & Manzhu Yu

In recent years, and in the face of a novel acute necessity brought about by a global pandemic, interest has grown in employing machine learning methods in risk information and early warning systems, to bolster natural disaster prediction. In many fields, from medicine to finance, machine learning has gained traction due to shrinking the processing timelines, providing growth in computational power, and increasing the usability of large data sets. In the context of predicting natural disasters, machine learning carries a significant potential for a societal and natural benefit, as it can allow for capitalising on a wealth of existing geospatial data, improving the effectiveness of emergency communications, and increasing the accuracy of forecasts.

This Collection aims to bring together the latest machine learning research which can be applied to the specific problem of improving the prediction of natural disasters, from predictive analysis techniques, to data mining, to disaster risk modelling. This Collection welcomes both theoretical and experimental work.

客座编辑：Filippo Cieri, Gabriella Martino & Carmelo Mario Vicario

Clinical psychology is a multidisciplinary field of psychology that focuses on the assessment, diagnosis, treatment, and prevention of mental illness and emotional distress. Clinical psychologists typically work with patients to help them improve their psychological well-being and overcome mental health challenges with the aim to support the management of medical illnesses. Clinical psychology is a field of active research on various aspects of mental health that contributes to the development of new therapeutic interventions.

This Collection aims to showcase the theoretical and experimental research related to health psychology, psychopathological symptoms, perceived health related quality of life, and management of medical conditions in health settings. Particularly, considering the crucial interrelationship between clinical psychology and medical settings, submissions concerning chronic diseases are welcome.

客座编辑：Carmine Attanasio, Sejeong Kim & Giovanni Mannino

Many quantum technologies applications are based on the generation and manipulation of single photons as well as their detection. However, deterministically generating a single photon in a required state is a challenging task; examples of single photon sources includes quantum dots, nitrogen vacancy centres, as well as using heralded sources where coincidence photons pairs can be exploited for such purposes. Detecting single photos above thermal noise is difficult due to their low energy. Single photon detectors include single photon avalanche photodiodes and superconducting nanowire single photon detectors; these technologies are key to the development of quantum random generators and quantum cryptography systems.

This Collection welcomes research that reports the latest advances in single photon sources and detectors, including aspects from design to their fabrication, characterisation, and implementation in novel quantum applications.

客座编辑：Suparna De, Einat Liebenthal & Laura Po

In the modern world, the number of NLP applications seems to be following an exponential growth curve: from highly agile chatbots, to sentiment analysis and intent classification, to personalised medicine, the NLP's capacity for improving our lives is ever-growing. At the same time, NLP progress is halted by the limited AI hardware infrastructure which struggles to accommodate more refined NLP models, the sparsity of good-quality NLP-training data, and complex linguistic problems, such as machine's understanding of homonymy or generation of polysemy.

This Collection is dedicated to the latest research on methodology in the vast field of NLP, which addresses and carries the potential to solve at least one of the many struggles the state-of-the-art NLP approaches face. We welcome theoretical-applied and applied research, proposing novel computational and/or hardware solutions.

客座编辑：Michael Knapp, John Pearman & Sujeet Kumar Singh

As organisms interact with their surroundings, they shed cellular material (e.g., excrement, mucous, skin cells) containing detailed genetic information. Recent advancements in sequencing technology allow scientists to analyse DNA and RNA collected from environmental samples (eDNA/eRNA), such as soil, sediments, water, and even air. Applying eDNA/eRNA methods can give researchers a far more detailed picture of a community, without the need for sampling or sighting individual organisms. eDNA and eRNA have been successfully used for detection of rare or cryptic taxa, to monitor the presence of invasive species, provide insights into ecosystem and organism health, and even to reconstruct past environments.

This Collection aims to bring together studies detailing recent developments in environmental DNA and RNA, from methodological and technological advancements to applied and interdisciplinary research.

客座编辑：Maria Gazouli & Christoph Reinhardt

Inflammatory bowel diseases (IBDs), such as Crohn’s Disease and Ulcerative Colitis are characterized by a chronic inflammation of the colon. The symptoms of these disorders lead to a reduction in the quality of life, and patients are susceptible to a higher risk of certain cancer types, such as colon cancer. IBDs are chronic diseases, and not currently curable, but novel treatment options are becoming available to reduce the burden on the patients.

This Guest Edited Collection invites innovative research that advances our understanding of IBDs, or contributes to potential therapeutic options.

客座编辑：Toshiaki IITAKA & Alexandre Zagoskin

The quantum information field is flourishing and projected to maintain strong momentum in the next decade due to the ever-growing demand for digitalization. Developing reliable qubits holds the key to enabling storing and processing of massive information at speed otherwise not achievable via conventional bits. The materials community acts as an integral part in propelling the exploration of suitable qubit materials based on specific two-state quantum mechanisms, from electron spin to photon polarisation. The leading road blocker for qubits stably functioning is quantum decoherence, which gives rise to the loss of information from a quantum computing system into the environment. To tackle this issue, most of the efforts from materials scientists have been geared towards designing qubit materials of longer coherence time and systems allowing the formation of multiple entangled pairs. To aid a leap to the discovery of desirable qubits and systems, we launch this collection to present cutting-edge qubit materials research in the exploration of promising candidates for qubit and qubit bus, the investigation of decoherence pathways to come up with mitigation strategies, and applications of quantum computing for fundamental solid-state and materials chemistry study.

客座编辑：Ajeet Kaushik & Laurene Tetard

The prosperity in nanoscience contributes to the advancement of the analytical chemistry domain. In general, the contributions are reciprocal, with nanomaterials enhancing the capabilities of analytic techniques and the more powerful analytical methods enabling the characterization of nanoscale objects with high precision. Sample purification/separation and detection are essential steps in a typical analytical process. The functionality and superiority of engineered nanomaterials displayed in these two key processes drive the evolution of new analytical instrumentations. For example, plasmonic nanoparticles and quantum dots incubated the nanosensors, while carbon nanotubes and porous metal oxide nanoparticles fostered the development of nano-liquid chromatography and microelectromechanical gas chromatography.

Given the technological importance of analytical tools enabled by nanoscience, Scientific Reports commission a themed collection aiming at gathering and facilitating research on exploring novel nanomaterials to advance further the detection and separation functions of relevant instrumentations and the use of these nanoanalytical tools to study the nanoscale objects or the chemical process at the nanoscale.

客座编辑：Graham Gagnon, Li Gao & Sunny Jiang

Water engineering is a scientific discipline focused on the design and implementation of infrastructures for the sustainable management of water resources. This heterogenous field encompasses research on groundwater, hydrology, water and wastewater management, clean energy production, and more.

Over the years, the field of water engineering has provided our global society with significant, life-changing findings, ranging from introducing new water treatment technologies for seawater and contaminated water purification, to implementing smart water networks, which are capable of monitoring water quality, detecting leaks automatically, and optimising water distribution.

At the same time, while water engineering research has made significant strides, there remain several challenges, such as the effective integration of sustainable water infrastructures with smart monitoring technologies, or maximising hydroelectric energy generation while minimising environmental impact, which must be addressed to promote further improvement and provide us with more sustainable future.

This Collection is dedicated to the latest research on water engineering. We welcome applied and multidisciplinary research which addresses at least one of the many challenges that the discipline is facing, while offering novel and rigorous contributions to this heterogenous field.

Scientific Reports 《科学报告》

An open access journal publishing original research from across all areas of the natural sciences, psychology, medicine and engineering.

2022年期刊评价指标

•2年影响因子(2022): 4.6

•5年影响因子(2022): 4.9

•期刊立即指数 (2022): 0.9

•特征因子® (2022): 1.05873

•论文影响分值 (2022): 1.129

Open. Inclusive. Rigorous. Constructive. 

多元开放              助益科研

© nature