mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Distributed Edge Cooperation and Data Collection for Digital Twins of Wide-Areas

Digital twins for wide-areas (DT-WA)can model and predict the physical world with high fidelity by incorporating an artificial intelligence (AI)model. However, the AI model requires an energy-consuming updating process to keep pace with the dynamic environment, where studies are still in infancy. To reduce the updating energy, this paper proposes a distributed edge cooperation and data collection scheme. The AI model is partitioned into multiple sub-models deployed on different edge servers (ESs)co-located with access points across wide-area, to update distributively using local sensor data. To reduce the updating energy, ESs can choose to become either updating helpers or recipients of their neighboring ESs, based on sensor quantities and basic updating convergencies. Helpers would share their updated sub-model parameters with neighboring recipients, so as to reduce the latter updating workload. To minimize system energy under updating convergency and latency constraints, we further propose an algorithm to let ESs distributively optimize their cooperation identities, collect sensor data, and allocate wireless and computing resources. It comprises several constraint-release approaches, where two child optimization problems are solved, and designs a largescale multi-agent deep reinforcement learning algorithm. Simulation shows that the proposed scheme can efficiently reduce updating energy compared with the baselines.
RFID Network Planning Optimization Using a Genetic-Simulated Annealing Combined Algorithm

The main purpose of this paper is to present and apply a genetic and simulated annealing combined algorithm to solve an optimization problem of Radio Frequency Identification (RFID)network planning in an emergency department of a hospital. Accordingly, though genetic algorithm (GA)and simulated annealing (SA)have advantages and disadvantages, but they are also complementary. Hence, the combined algorithm not only takes advantages of the two methods, but also avoids their disadvantages. The simulation results in an emergency department of a hospital present that the proposed method provides minimum total cost and maximum RFID network coverage in a simultaneous way with the efficient use of multi-antenna RFID readers. Besides, the results of comparison of two scenarios of the model with the results of other existing models in the relevant literature show that the proposed model has better outcomes.
High power, widely tunable femtosecond MgO:PPLN optical parametric oscillator

We demonstrate a high power, widely tunable femtosecond MgO-doped periodically poled lithium niobate (MgO:PPLN) optical parametric oscillator (OPO) at 151 MHz, pumped by a Kerr-lens mode-locked Yb:KGW laser. With a maximum pump power of 7 W, the OPO is capable of delivering as high as 2.2 W of the signal centered around 1500 nm with tunable signal spectrum ranges of 1377 nm-1730 nm at an extraction efficiency of 31.4%, which exhibits a long-term passive power stability better than 0.71% rms over 4 h. The maximum idler bandwidths of 185 nm at 3613 nm are obtained across the idler tuning ranges of 2539 nm-4191 nm. By compensating intracavity dispersion, the signal has the shortest pulse duration of 170 fs at 1428 nm.
Narrowed Si_(0.7)Ge_(0.3) channel FinFET with subthreshold swing of 64 mV/Dec using cyclic self-limited oxidation and removal process

A narrowed Si_(0.7)Ge_(0.3) channel fin field-effect transistor (FinFET) device is demonstrated in detail by using an accurate cyclic wet treatment process. The Si_(0.7)Ge_(0.3) fin/per side of 0.63 nm in thickness can be accurately removed in each cycle by utilizing a self-limited oxidation with 40% HNO_3 solution in 40 s and oxidation removal can be achieved with 1% HF solution in 10 s. As a result, after the dummy gate removal, the fin width of Si_(0.7)Ge_(0.3) can be narrowed from 20 nm to 8 nm by utilizing 10 cycles of this wet treatment process. Compared with the conventional Si_(0.7)Ge_(0.3) FinFET under a similar process, the narrowed Si_(0.7)Ge_(0.3) channel FinFET can realize a strong gate control capability by using this newly developed wet treatment process, because its subthreshold slope can be reduced by 24%, improving from 87 mV/dec to 64 mV/dec.
Strange quark mass (ms) dependent model of anisotropic strange quark star

This article presents the configuration of strange quark stars in hydrostatic equilibrium considering the Vaidya-Tikekar metric ansatz. The interior of such stars comprises strange quark matter (henceforth SQM), whose equation of state (hence forth EoS) is described by the MIT EoS p=1/3(ρ-4B), where B is the difference between perturbative and non-perturbative vacuum. We have included the mass of the strange quark (m_s) into the EoS and studied its effect on the overall properties of the strange quark star in this work. It is observed that the maximum mass reaches its highest value when m_s=0. We have evaluated the range of the maximum mass of the strange quark star by solving the TOV equation for 57.55
Flood cascading on critical infrastructure with climate change: A spatial analysis of the extreme weather event in Xinxiang, China

Floods caused by extreme weather events and climate change have increased in occurrence and severity all over the world, resulting in devastation and disruption of activities. Researchers and policy practitioners have increasingly paid attention to the role of critical infrastructure (CI) in disaster risk reduction, flood resilience and climate change adaptation in terms of its backbone functions in maintaining societal services in hazard attacks. The analysed city in this study, Xinxiang (Henan province, China), was affected by an extreme flood event that occurred on 17-23 July 2021, which caused great socio-economic losses. However, few studies have focused on medium-sized cities and the flood cascading effects on CI during this event. Therefore, this study explores the damages caused by this flooding event with links to CI, such as health services, energy supply stations, shelters and transport facilities (HEST infrastructure). To achieve this, the study first combines RGB (red, green blue) composition and supervised classification for flood detection to monitor and map flood inundation areas. Second, it manages a multiscenario simulation and evaluates the cascading effects on HEST infrastructure. Diverse open-source data are employed, including Sentinel-1 synthetic aperture radar (SAR) data and Landsat-8 OIL data, point-of-interest (POI) and OpenStreetMap (OSM) data. The study reveals that this extreme flood event has profoundly affected croplands and villagers. Due to the revisiting period of Sentinel-1 SAR data, four scenarios are simulated to portray the retreated but 'omitted' floodwater: Scenario 0 is the flood inundation area on 27 July, and Scenarios 1, 2 and 3 are built based on this information with a buffer of 50, 100 and 150 m outwards, respectively. In the four scenarios, as the inundation areas expand, the affected HEST infrastructure becomes more clustered at the centre of the core study area, indicating that those located in the urban centre are more susceptible to flooding. Furthermore, the affected transport facilities assemble in the north and east of the core study area, implying that transport facilities located in the north and east of the core study area are more susceptible to flooding. The verification of the flood inundation maps and affected HEST infrastructure in the scenario simulation support the series method adopted in this study. The findings of this study can be used by flood managers, urban planners and other decision makers to better understand extreme historic weather events in China, improve flood resilience and decrease the negative impacts of such events on HEST infrastructure.
Unique mutation spectrum of progressive pseudorheumatoid dysplasia in the Chinese population: a retrospective genotype-phenotype analysis of 105 patients

Background Progressive pseudorheumatoid dysplasia (PPRD) is a rare genetic disease with autosomal recessive inheritance. There was a lack of genotype-phenotype correlation data from the Chinese population. This study aimed to identify the genotype and phenotype characteristics of Chinese PPRD patients and to conduct a genotype-phenotype analysis of Chinese PPRD patients. Methods Genetic analysis was performed for suspected PPRD patients from Peking Union Medical College Hospital. Medical records were collected from the electronic medical record system and patient-held portable health records. Published Chinese PPRD cases were gathered from both international and Chinese local databases. We collected demographic information, genetic variants, clinical manifestations, and imaging characteristics for further analysis. Results We included 105 Chinese PPRD patients in the current study. Thirty-three variants, including nine novels and five hotspot variants, were identified, with 26/33 (79%) variants exclusively seen in the Chinese population. Chinese PPRD patients share a phenotype similar to that in international reports. Joint involvement may progress with age (R~2 = 0.2541). Long bone shortening and severe deformities occur in three patients with biallelic null variants, of which at least one variant is located in exon 2. Among hotspot variants, c.624dupA (p.C209Mfs*21) were associated with later onset and more involved joints. Elbow joints were more likely to be affected in patients carrying c.624dupA (p.C209Mfs*21) and c.866dupA (p.S209Efs*13). Shoulder joints are more likely to be involved in patients with biallelic null variants (P = 0.027). Conclusions Chinese PPRD patients share a unique mutation spectrum. Among the five hotspot variants, c.624dupA is associated with later onset of disease, more extensive joint involvement, and a tendency to affect elbow joints. Biallelic null variants with at least one variant in exon 2 could be a likely cause of long bone shortening and severe deformities.
Nanoscale multi-beam lithography of photonic crystals with ultrafast laser

Photonic crystals are utilized in many noteworthy applications like optical communications, light flow control, and quantum optics. Photonic crystal with nanoscale structure is important for the manipulation of light propagation in visible and near-infrared range. Herein, we propose a novel multi beam lithography method to fabricate photonic crystal with nanoscale structure without cracking. Using multi-beam ultrafast laser processing and etching, parallel channels with subwavelength gap are obtained in yttrium aluminum garnet crystal. Combining optical simulation based on Debye diffraction, we experimentally show the gap width of parallel channels can be controlled at nanoscale by changing phase holograms. With the superimposed phase hologram designing, functional structures of complicated channel arrays distribution can be created in crystal. Optical gratings of different periods are fabricated, which can diffract incident light in particular ways. This approach can efficiently manufacture nanostructures with controllable gap, and offer an alternative to the fabrication of complex photonic crystal for integrated photonics applications.
Developmental environment contributes to rapid trait shifts among newly colonized subterranean habitats

Recent colonization of extreme environments provides unique opportunities to study the early steps of adaptation and the potential for rapid convergent evolution.However,phenotypic shifts during recent colonization may also be due to plasticity in response to changes in the rearing environment.Here,we analyzed a suite of morphological and behavioral traits in paired surface,subterranean,and facultatively subterranean Mexican tetras (Astyanax mexicanus) from recent introductions in two separate watersheds outside of their native range.We found a variety of phenotypic and behavioral shifts between subterranean and surface populations that are similar to those observed in relatively ancient populations in Mexico.Despite this rapid morphological divergence,we found that most of these trait differences were due to plasticity in response to rearing environments.While most trait assays in common-garden,lab-raised fish indicated that phenotypic shifts in wild fish were the result of plasticity,we also found evidence of genetic control in several traits present in subterranean populations.Interestingly,wallfollowing behavior,an important subterranean foraging behavior,was greater in lab-born subterranean fish than in lab-born surface fish,suggesting rapid divergence of this trait between subterranean and surface populations.Thus,this study sheds light on the early steps of subterranean evolution,identifies potential rapid behavioral evolution,and suggests that plasticity in traits involving exploratory behavior may facilitate subterranean colonization.
Frequency of Food Consumption Among Students Aged 8-15 Years-China, 2019 and 2021

What is already known about this topic? Malnutrition continues to be the primary cause of delayed growth and development among students in economically disadvantaged rural areas of China. Ensuring adequate and appropriate dietary intake is crucial for promoting the healthy growth of these students. What is added by this report? In rural areas of central and western regions in China, the weekly consumption frequencies of meat, eggs, milk, legumes, fruits, and vegetables in 2021 were higher than those in 2019. However, the consumption levels remained relatively low in economically underdeveloped rural areas in 2021. What are the implications for public health practice? Understanding the frequency of food consumption among students can provide a solid evidence base for the development of policies and strategies aimed at controlling and preventing malnutrition.
A Large-Scale Cross-Sectional Study on Mental Health Status Among Children and Adolescents-Jiangsu Province,China,2022

What is already known about this topic? The prevalence of mental health disorders among children and youth in China stands at 17.5%,a figure that has been gradually escalating over recent years.This surge has led to substantial psychological distress and financial strain for both families and the wider society.What is added by this report? This study boasts an expansive geographical scope by covering Jiangsu Province extensively and utilizing a substantial sample size.An investigation was conducted on the prevalence and risk factors,which included family type and health behaviors,of depressive,anxiety,and stress symptoms.What are the implications for public health practice? The mental health status of children and adolescents should be of great concern to the government.Therefore,it is important that public health measures are implemented to mitigate the development of depressive symptoms.These measures may include regular screening procedures and the implementation of proven interventions.
Robust hydrogel sensors for unsupervised learning enabled sign-to-verbal translation

Highly stretchable and robust strain sensors are rapidly emerging as promising candidates for a diverse of wearable electronics.The main challenge for the practical application of wearable electronics is the energy consumption and device aging.Energy consumption mainly depends on the conductivity of the sensor,and it is a key factor in determining device aging.Here,we design a liquid metal (LM)-embedded hydrogel as a sensing material to overcome the barrier of energy consumption and device aging of wearable electronics.The sensing material simultaneously exhibits high conductivity (up to 22 S m~(-1)),low elastic modulus (23 kPa),and ultrahigh stretchability (1500%) with excellent robustness (consistent performance against 12 000 mechanical cycling).A motion monitoring system is composed of intrinsically soft LM-embedded hydrogel as sensing material,a microcontroller,signal-processing circuits,Bluetooth transceiver,and self-organizing map developed software for the visualization of multi-dimensional data.This system integrating multiple functions including signal conditioning,processing,and wireless transmission achieves monitor hand gesture as well as sign-to-verbal translation.This approach provides an ideal strategy for deaf-mute communicating with normal people and broadens the application of wearable electronics.
特应性皮炎神经源性炎症发病机制与治疗策略研究进展

特应性皮炎(AD)是一种发病率在任何年龄段均渐增的慢性复发性炎症性皮肤病,目前尚无某一确切机制可解释其显著临床异质性的成因,故部分AD患者的临床全面管理极为棘手。新近研究证据表明,辅助型T细胞2(Th2型)型免疫炎症反应过度激活是AD诸多病理改变中最基本的特征,且已证实由皮肤感觉神经纤维和皮肤常驻细胞借助神经递质或炎性介质实现信息通讯的神经源性炎症(NGI)是AD炎症表型形成的重要环节。从皮肤NGI形成的角度阐述其与AD临床症状的关系势必可深入理解靶向皮肤NGI相关策略防治AD的疗效与安全性。本文介绍了皮肤NGI的结构基础,剖析了皮肤NGI在AD发病机制及治疗策略更新上的最新研究进展,并对未来基于皮肤NGI开展相关研究进行了展望,以期为AD的临床精准管理提供有益参考。
常染色体隐性遗传多囊肾病发病机制的研究进展

常染色体隐性遗传多囊肾病(ARPKD)是累及肾脏和肝脏的罕见纤毛病之一,也是儿童慢性肾脏病(CKD)的常见原因之一。尚缺乏针对ARPKD的特异性治疗方法,故了解其机制至关重要。信号通路异常激活、调节因子和细胞因子的异常分泌、细胞外基质重塑、细胞极性和机械性质的改变等相关机制逐渐被认识。尽管ARPKD的遗传基础是明确的,但对ARPKD的变异基因及其表达蛋白的确切功能和囊肿形成的关键分子机制的认识仍不足,相关信号通路的具体机制也不完全清楚。为了加强对ARPKD的认识,寻找临床上特异的治疗药物,对该病的致病机制进行综述。
Finding Symmetry Groups of Some Quadratic Programming Problems

Solution and analysis of mathematical programming problems may be simplified when these problems are symmetric under appropriate linear transformations.In particular,a knowledge of the symmetries may help decrease the problem dimension,reduce the size of the search space by means of linear cuts.While the previous studies of symmetries in the mathematical programming usually dealt with permutations of coordinates of the solutions space,the present paper considers a larger group of invertible linear transformations.We study a special case of the quadratic programming problem,where the objective function and constraints are given by quadratic forms.We formulate conditions,which allow us to transform the original problem to a new system of coordinates,such that the symmetries may be sought only among orthogonal transformations.In particular,these conditions are satisfied if the sum of all matrices of quadratic forms,involved in the constraints,is a positive definite matrix.We describe the structure and some useful properties of the group of symmetries of the problem.Besides that,the methods of detection of such symmetries are outlined for different special cases as well as for the general case.
Do astrocytes respond to light, sound, or electrical stimulation?

Astrocytes are not only the most populous cell type in the human brain, but they also have the most extensive and diverse sets of connections, across synapses, axons, blood vessels, as well as having their own internal network. Unsurprisingly, they are associated with many brain functions; from the synaptic transmission to energy metabolism and fluid homeostasis, and from cerebral blood flow and blood-brain barrier maintenance to neuroprotection, memory, immune defenses and detoxification, sleep, and early development. And yet, notwithstanding these key roles, so many current therapeutic approaches to a range of brain disorders have largely neglected their potential involvement. In this review, we consider the role of astrocytes in three brain therapies; two are emerging treatments (photobiomodulation and ultrasound), while the other is well-established (deep brain stimulation). In essence, we explore the issue of whether external sources, such as light, sound, or electricity, can influence the function of astrocytes, as they do neurons. We find that, when taken all together, each of these external sources can influence many, if not, all of the functions associated with astrocytes. These include influencing neuronal activity, prompting neuroprotection, reducing inflammation (astrogliosis)and potentially increasing cerebral blood flow and stimulating the glymphatic system. We suggest that astrocytes, just like neurons, can respond positively to each of these external applications and that their activation could each impart many beneficial outcomes on brain function; they are likely to be key players underpinning the mechanisms behind many therapeutic strategies.
Reversible data hiding using a transformer predictor and an adaptive embedding strategy

In the field of reversible data hiding (RDH), designing a high-precision predictor to reduce the embedding distortion and developing an effective embedding strategy to minimize the distortion caused by embedding information are the two most critical aspects. In this paper, we propose a new RDH method, including a predictor based on a transformer and a novel embedding strategy with multiple embedding rules. In the predictor part, we first design a transformer-based predictor. Then, we propose an image division method to divide the image into four parts, which can use more pixels as context. Compared with other predictors, the transformer-based predictor can extend the range of pixels for prediction from neighboring pixels to global ones, making it more accurate in reducing the embedding distortion. In the embedding strategy part, we first propose a complexity measurement with pixels in the target blocks. Then, we develop an improved prediction error ordering rule. Finally, we provide an embedding strategy including multiple embedding rules for the first time. The proposed RDH method can effectively reduce the distortion and provide satisfactory results in improving the visual quality of data-hidden images, and experimental results show that the performance of our RDH method is leading the field.
A cooperative model of photovoltaic and electricity-tohydrogen including green certificate trading under the conditional value at risk

Cooperation in energy systems is no longer limited to the distribution of electricity, and more attention is paid to the trading of green certificates (GCs). This paper proposed a cooperative method for photovoltaic (PV) and electric-tohydrogen (EH) trading, including GC trading under risk management. First, a novel PV and EH model is established and the cooperation mechanism is analyzed. Meanwhile, PV and EH models were risk-controlled using the conditional value at risk to reduce the impact of the uncertainty of PV electricity and EH loads. Then, the PV-EH cooperative model was established based on cooperative game theory; this was then divided into two subproblems of "cooperative benefit maximization" and "transaction payment negotiation," and the above two subproblems were solved distributively by alternating direction multiplier method (ADMM). Only energy transactions and price negotiations were conducted between the PV and EH, which can protect the privacy and confidentiality of each entity. Finally, the effectiveness of the cooperation model was verified using a practical engineering case. The simulation results show that the cooperation of the PV-EH can significantly improve the operational efficiency of each entity and the overall efficiency of the cooperation and realize the efficient redistribution of electricity and GC.