Exploring the Impact of Crisis and Trauma on the Mental Health and Psychological Well-Being of University Students in Northern Haiti

In recent decades,Haiti has been subject to man-made and natural disasters that have left its citizens vulnerable to a range of shocks.With a weak state unable to protect its populace,Haitians are exposed to some of the highest levels of poverty and violence in the Western Hemisphere.In recent years,Haitians have experienced two crises that this study analyzes:the instability and political violence of“peyi lòk”as well as the global pandemic of COVID-19.This community-based assessment explores the impact of these two crises on the mental health and psychological well-being of 38 Haitian university students in the understudied northern part of the country.Results indicate that both crises had similarities related to their psychological effects on young people,most notably in terms of traumatic experiences related to threats or violence,forced confinement,and large increases in population-wide uncertainty.Additionally,the extreme violence of“peyi lòk”and the widespread unpredictability of COVID-19 and its effects in the early days of the pandemic resulted in high levels of stress and fear.Both crises also resulted in extreme economic hardship for students,with many reporting difficulties accessing basic needs such as food and water.This study highlights how converging population-level crises in“complex emergencies”can heighten trauma and compromise mental health.

ROS Balance Autoregulating Core-Shell CeO_(2)@ZIF-8/Au Nanoplatform for Wound Repair

Reactive oxygen species(ROS)plays important roles in living organisms.While ROS is a double-edged sword,which can eliminate drug-resistant bacteria,but excessive levels can cause oxidative damage to cells.A core–shell nanozyme,Ce O_(2)@ZIF-8/Au,has been crafted,spontaneously activating both ROS generating and scavenging functions,achieving the multifaceted functions of eliminating bacteria,reducing inflammation,and promoting wound healing.The Au Nanoparticles(NPs)on the shell exhibit high-efficiency peroxidase-like activity,producing ROS to kill bacteria.Meanwhile,the encapsulation of Ce O_(2) core within ZIF-8 provides a seal for temporarily limiting the superoxide dismutase and catalase-like activities of Ce O_(2) nanoparticles.Subsequently,as the ZIF-8 structure decomposes in the acidic microenvironment,the Ce O_(2) core is gradually released,exerting its ROS scavenging activity to eliminate excess ROS produced by the Au NPs.These two functions automatically and continuously regulate the balance of ROS levels,ultimately achieving the function of killing bacteria,reducing inflammation,and promoting wound healing.Such innovative ROS spontaneous regulators hold immense potential for revolutionizing the field of antibacterial agents and therapies.

Oncologic outcomes with and without amniotic membranes in robotic-assisted radical prostatectomy:A propensity score matched analysis

Objective:Placement of human placenta derived grafts during robotic-assisted radical prostatectomy(RARP)hastens the return of continence and potency.The long-term impact on the oncologic outcomes remains to be investigated.Our objective was to determine the oncologic outcomes of patients with dehydrated human amnion chorion membrane(dHACM)at RARP compared to a matched cohort.Methods:In a referral centre,from August 2013 to October 2019,599 patients used dHACM in bilateral nerve-sparing RARP.We excluded patients with less than 12 months follow-up,simple prostatectomy,and unilateral nerve-sparing.Patients with dHACM(amnio group)were 529,and were propensity score matched 1:1 to 2465 patients without dHACM(non-amnio group)and a minimum follow-up of 36 months.At the time of RARP,dHACM was placed around the neurovascular bundle in the amnio group.Continuous and categorical variables in matched groups was tested by two-sample Kolmogorov-Smirnov test and Fisher's exact test respectively.Outcomes measured were biochemical recurrence(BCR),adjuvant and salvage therapy rates.Results:Propensity score matching resulted in two groups of 444 patients.Cumulative incidence functions for BCR did not show a difference between the groups(p=0.3).Patients in the non-amnio group required salvage therapy more frequently than the amnio group,particularly after partial nerve-sparing RARP(6.3%vs.2.3%,p=0.001).Limitations are the absence of prospective randomization.Conclusion:The data suggest that using dHACM does not have a negative impact on BCR in patients.Outcomes of cancer specific and overall survival will require follow-up study to increase our understanding of these grafts’impact on prostate cancer biology.

Dual‑Atom Nanozyme Eye Drops Attenuate Inflammation and Break the Vicious Cycle in Dry Eye Disease

Dry eye disease(DED)is a major ocular pathology worldwide,causing serious ocular discomfort and even visual impairment.The incidence of DED is gradually increasing with the highfrequency use of electronic products.Although inflammation is core cause of the DED vicious cycle,reactive oxygen species(ROS)play a pivotal role in the vicious cycle by regulating inflammation from upstream.Therefore,current therapies merely targeting inflammation show the failure of DED treatment.Here,a novel dual-atom nanozymes(DAN)-based eye drops are developed.The antioxidative DAN is successfully prepared by embedding Fe and Mn bimetallic single-atoms in N-doped carbon material and modifying it with a hydrophilic polymer.The in vitro and in vivo results demonstrate the DAN is endowed with superior biological activity in scavenging excessive ROS,inhibiting NLRP3 inflammasome activation,decreasing proinflammatory cytokines expression,and suppressing cell apoptosis.Consequently,the DAN effectively alleviate ocular inflammation,promote corneal epithelial repair,recover goblet cell density and tear secretion,thus breaking the DED vicious cycle.Our findings open an avenue to make the DAN as an intervention form to DED and ROSmediated inflammatory diseases.

The History of Habits:A Critical Unknown in the History of Chinese Medicine

This essay articulates a new conceptual distinction-that between repertories and habits-and urges that the history of habits is the most critical unknown in the study of Chinese medical history.

Real-time ore sorting using color and texture analysis

Sensor-based ore sorting is a technology used to classify high-grade mineralized rocks from low-grade waste rocks to reduce operation costs.Many ore-sorting algorithms using color images have been proposed in the past,but only some validate their results using mineral grades or optimize the algorithms to classify rocks in real-time.This paper presents an ore-sorting algorithm based on image processing and machine learning that is able to classify rocks from a gold and silver mine based on their grade.The algorithm is composed of four main stages:(1)image segmentation and partition,(2)color and texture feature extraction,(3)sub-image classification using neural networks,and(4)a voting system to determine the overall class of the rock.The algorithm was trained using images of rocks that a geologist manually classified according to their mineral content and then was validated using a different set of rocks analyzed in a laboratory to determine their gold and silver grades.The proposed method achieved a Matthews correlation coefficient of 0.961 points,higher than other classification algorithms based on support vector machines and convolutional neural networks,and a processing time under 44 ms,promising for real-time ore sorting applications.

Visualization of adaptive polymer flow and displacement in medium-permeable 3D core-on-a-chip

Polymer flooding has been witnessed an effective technology for enhancing oil recovery from medium-to low-permeability reservoirs;however, direct visualization of polymer solution flow in such reservoir condition is still lacking. In this work, a three-dimensional (3D) core-on-a-chip device with a permeability of around 200 mD was prepared and employed to visualize the pore-scale flow and displacement of a self-adaptive polymer (SAP, 8.7 × 106 g·mol−1)−whose microscopic association structure and macroscopic viscosity can reversibly change in response to shear action−versus partially hydrolyzed polyacrylamide (HPAM), by recording their flow curves, monitoring dynamic transportation process via particle imaging velocimetry, and building 3D structure of remaining oil. The results show that, in single-phase flow, all polymer solutions exhibit flow thinning and then thickening regions as flow rate increases, but the transition between two regimes occurs at a small Weissenberg number (10−3−10−1) in this medium-permeable condition. In contrast to HPAM-1 with close weight-average molecular weight (Mw), the adaptive character not only extends SAP's shear-govern region, allowing SAP to propagate piece by piece and achieve higher accessible pore volume, but it also enhances the elastic resistibility of polymer in the extension-dominated regime, increasing the microscopic displacement efficiency. These two effects result in 1.5–3 times more oil recovery factor for SAP than for HPAM-1. Regarding ultra-high-Mw HPAM-2 (25 × 106 g·mol−1), plugging and chain degradation do occur, thus producing lower oil recovery than SAP. This work provides a direct approach for in-situ assessment of polymer-based displacing system under a more authentic condition of practical reservoirs.

Play therapy in children with autism:Its role,implications,and limitations

Play is a pleasurable physical or mental activity that enhances the child’s skills involving negotiation abilities,problem-solving,manual dexterity,sharing,decision-making,and working in a group.Play affects all the brain's areas,structures,and functions.Children with autism have adaptive behavior,adaptive response,and social interaction limitations.This review explores the different applications of play therapy in helping children with autism disorder.Play is usually significantly impaired in children with autism.Play therapy is mainly intended to help children to honor their unique mental abilities and developmental levels.The main aim of play therapy is to prevent or solve psychosocial difficulties and achieve optimal child-healthy growth and development.Play therapy helps children with autism to engage in play activities of their interest and choice to express themselves in the most comfortable ways.It changes their way of self-expression from unwanted behaviors to more non-injurious expressive behavior using toys or activities of their choice as their words.Play therapy also helps those children to experience feeling out various interaction styles.Every child with autism is unique and responds differently.Therefore,different types of intervention,like play therapy,could fit the differences in children with autism.Proper evaluation of the child is mandatory to evaluate which type fits the child more than the others.This narrative review revised the different types of play therapy that could fit children with autism in an evidence-based way.Despite weak evidence,play therapy still has potential benefits for patients and their families.

Split-Ring Structured All-Inorganic Perovskite Photodetector Arrays for Masterly Internet of Things

Photodetectors with long detection distances and fast response are important media in constructing a non-contact human-machine interface for the Masterly Internet of Things(MIT).All-inorganic perovskites have excellent optoelectronic performance with high moisture and oxygen resistance,making them one of the promising candidates for high-performance photodetectors,but a simple,low-cost and reliable fabrication technology is urgently needed.Here,a dual-function laser etching method is developed to complete both the lyophilic split-ring structure and electrode patterning.This novel split-ring structure can capture the perovskite precursor droplet efficiently and achieve the uniform and compact deposition of CsPbBr3 films.Furthermore,our devices based on laterally conducting split-ring structured photodetectors possess outstanding performance,including the maximum responsivity of 1.44×105 mA W^(−1),a response time of 150μs in 1.5 kHz and one-unit area<4×10-2 mm2.Based on these split-ring photodetector arrays,we realized three-dimensional gesture detection with up to 100 mm distance detection and up to 600 mm s^(−1) speed detection,for low-cost,integrative,and non-contact human-machine interfaces.Finally,we applied this MIT to wearable and flexible digital gesture recognition watch panel,safe and comfortable central controller integrated on the car screen,and remote control of the robot,demonstrating the broad potential applications.

Intelligent Vascularized 3D/4D/5D/6D‑Printed Tissue Scaffolds

Blood vessels are essential for nutrient and oxygen delivery and waste removal.Scaffold-repairing materials with functional vascular networks are widely used in bone tissue engineering.Additive manufacturing is a manufacturing technology that creates three-dimensional solids by stacking substances layer by layer,mainly including but not limited to 3D printing,but also 4D printing,5D printing and 6D printing.It can be effectively combined with vascularization to meet the needs of vascularized tissue scaffolds by precisely tuning the mechanical structure and biological properties of smart vascular scaffolds.Herein,the development of neovascularization to vascularization to bone tissue engineering is systematically discussed in terms of the importance of vascularization to the tissue.Additionally,the research progress and future prospects of vascularized 3D printed scaffold materials are highlighted and presented in four categories:functional vascularized 3D printed scaffolds,cell-based vascularized 3D printed scaffolds,vascularized 3D printed scaffolds loaded with specific carriers and bionic vascularized 3D printed scaffolds.Finally,a brief review of vascularized additive manufacturing-tissue scaffolds in related tissues such as the vascular tissue engineering,cardiovascular system,skeletal muscle,soft tissue and a discussion of the challenges and development efforts leading to significant advances in intelligent vascularized tissue regeneration is presented.

Deep dive into anionic metal-organic frameworks based quasi-solid-state electrolytes

The development and application of high-capacity energy storage has been crucial to the global transition from fossil fuels to green energy.In this context,metal-organic frameworks(MOFs),with their unique 3D porous structure and tunable chemical functionality,have shown enormous potential as energy storage materials for accommodating or transporting electrochemically active ions.In this perspective,we specifically focus on the current status and prospects of anionic MOF-based quasi-solid-state-electrolytes(anionic MOF-QSSEs)for lithium metal batteries(LMBs).An overview of the definition,design,and properties of anionic MOF-QSSEs is provided,including recent advances in the understanding of their ion transport mechanism.To illustrate the advantages of using anionic MOF-QSSEs as electrolytes for LMBs,a thorough comparison between anionic MOF-QSSEs and other well-studied electrolyte systems is made.With these in-depth understandings,viable techniques for tuning the chemical and topological properties of anionic MOF-QSSEs to increase Li+conductivity are discussed.Beyond modulation of the MOFs matrix,we envisage that solvent and solid-electrolyte interphase design as well as emerging fabrication techniques will aid in the design and practical application of anionic MOF-QSSEs.

Assessment of typhoon storm surge disaster scale based on expansion model

The South China Sea suffers strongly from the typhoon storm surge disasters in China,and its northern coastal areas are facing severe risks.Therefore,it is necessary and urgent to establish an assessment system for rating typhoon storm surge disaster.We constructed an effective and reliable rating assessment system for typhoon storm surge disaster based on the theories of over-threshold,distribution function family,and composite extreme value.The over-threshold sample was used as the basis of data analysis,the composite extreme value expansion model was used to derive the design water increment,and then the disaster level was delineated based on the return period level.The results of the extreme value model comparison show that the Weibull-Pareto distribution is more suitable than the classical extreme value distribution for fitting the over-threshold samples.The results of the return period projection are relatively stable based on different analysis samples.Taking the 10 typhoon storm surges as examples,they caused landfall in the Guangdong area in the past 10 years.The results of the assessment ranking indicate that the risk levels based on the return period levels obtained from different distributions are generally consistent.When classifying low-risk areas,the classification criteria of the State Oceanic Administration,China(SOA,2012)are more conservative.In the high-risk areas,the results of the assessment ranking based on return period are more consistent with those of the SOA.

Uncertainty analysis for the calculation of marine environmental design parameters in the South China Sea

The calculation results of marine environmental design parameters obtained from different data sampling methods,model distributions,and parameter estimation methods often vary greatly.To better analyze the uncertainties in the calculation of marine environmental design parameters,a general model uncertainty assessment method is necessary.We proposed a new multivariate model uncertainty assessment method for the calculation of marine environmental design parameters.The method divides the overall model uncertainty into two categories:aleatory uncertainty and epistemic uncertainty.The aleatory uncertainty of the model is obtained by analyzing the influence of the number and the dispersion degree of samples on the information entropy of the model.The epistemic uncertainty of the model is calculated using the information entropy of the model itself and the prediction error.The advantages of this method are that it does not require many-year-observation data for the marine environmental elements,and the method can be used to analyze any specific factors that cause model uncertainty.Results show that by applying the method to the South China Sea,the aleatory uncertainty of the model increases with the number of samples and then stabilizes.A positive correlation was revealed between the dispersion of the samples and the aleatory uncertainty of the model.Both the distribution of the model and the parameter estimation results of the model have significant effects on the epistemic uncertainty of the model.When the goodness-of-fit of the model is relatively close,the best model can be selected according to the criterion of the lowest overall uncertainty of the models,which can both ensure a better model fit and avoid too much uncertainty in the model calculation results.The presented multivariate model uncertainty assessment method provides a criterion to measure the advantages and disadvantages of the marine environmental design parameter calculation model from the aspect of uncertainty,which is of great significance to analyze the uncertainties in the calculation of marine environmental design parameters and improve the accuracy of the calculation results.

Two-Stage Segmentation of Lung Cancer Metastasis Lesions by Fusion of Multi-Resolution Features

The deep learning method automatically extracts advanced features from a large amount of data, avoiding cumbersome manual feature screening, and using digital pathology and artificial intelligence technology to build a computer-aided diagnosis system to help pathologists quickly make objective and reliable diagnoses and improve work efficiency. Because pathological images are limited by factors such as sample size, manual labeling expertise, and complexity, artificial intelligence algorithms have not been extensively and in-depth researched on pathological images of lung cancer metastasis. Therefore, this paper proposes a lung cancer metastasis segmentation method based on pathological images, to further improve the computer-aided diagnosis method of lung cancer.

Bioresource Upgrade for Sustainable Energy,Environment,and Biomedicine

We conceptualize bioresource upgrade for sustainable energy,environment,and biomedicine with a focus on circular economy,sustainability,and carbon neutrality using high availability and low utilization biomass(HALUB).We acme energy-efficient technologies for sustainable energy and material recovery and applications.The technologies of thermochemical conversion(TC),biochemical conversion(BC),electrochemical conversion(EC),and photochemical conversion(PTC)are summarized for HALUB.Microalgal biomass could contribute to a biofuel HHV of 35.72 MJ Kg^(-1)and total benefit of 749$/ton biomass via TC.Specific surface area of biochar reached 3000 m^(2)g^(-1)via pyrolytic carbonization of waste bean dregs.Lignocellulosic biomass can be effectively converted into bio-stimulants and biofertilizers via BC with a high conversion efficiency of more than 90%.Besides,lignocellulosic biomass can contribute to a current density of 672 mA m^(-2)via EC.Bioresource can be 100%selectively synthesized via electrocatalysis through EC and PTC.Machine learning,techno-economic analysis,and life cycle analysis are essential to various upgrading approaches of HALUB.Sustainable biomaterials,sustainable living materials and technologies for biomedical and multifunctional applications like nano-catalysis,microfluidic and micro/nanomotors beyond are also highlighted.New techniques and systems for the complete conversion and utilization of HALUB for new energy and materials are further discussed.

Spatial Control of Lithium Deposition by Controlling the Lithiophilicity with Copper(Ⅰ)Oxide Boundaries

Spatial control of lithium deposition is the most important issue in lithium-metal batteries because of the considerable control of lithium dendrite suppression via the uniform distribution of Li^(+)flux.Although seed materials are crucial for the behavior of lithium deposition,in-depth studies on their physical and chemical control have not been conducted.Here,we describe a new design of seed structure comprising a wrinkled Cu/graphene substrate surrounded by copper(Ⅰ)oxide(Cu_(2)O)on a graphene grain boundary over a large area,which is fabricated by the oxidation of the Cu surface via graphene boundary defects by using chemical vapor deposition(CVD).Scanning and transmission electron microscopy results reveal that Cu_(2)O on the graphene boundary can render a preferential reaction with lithium during the first deposition and assist in the uniform deposition of lithium by preventing the agglomeration of lithium clusters during the second deposition.This two-step process is attributed to the degree of selectivity due to the difference in lithium affinity,which allows long-term electrochemical stability and a high rate capability via boundary effects.This study highlights the significance of the boundary effect,which can open new avenues for the formation of a large family of seed structures in lithium-metal batteries.

Role of the immune microenvironment in bone,cartilage,and soft tissue regeneration:from mechanism to therapeuticopportunity

Bone,cartilage,and soft tissue regeneration is a complex spatiotemporal process recruiting a variety of cell types,whose activity and interplay must be precisely mediated for effective healing post-injury.Although extensive strides have been made in the understanding of the immune microenvironment processes governing bone,cartilage,and soft tissue regeneration,effective clinical translation of these mechanisms remains a challenge.Regulation of the immune microenvironment is increasingly becoming a favorable target for bone,cartilage,and soft tissue regeneration;therefore,an in-depth understanding of the communication between immune cells and functional tissue cells would be valuable.Herein,we review the regulatory role of the immune microenvironment in the promotion and maintenance of stem cell states in the context of bone,cartilage,and soft tissue repair and regeneration.We discuss the roles of various immune cell subsets in bone,cartilage,and soft tissue repair and regeneration processes and introduce novel strategies,for example,biomaterial-targeting of immune cell activity,aimed at regulating healing.Understanding the mechanisms of the crosstalk between the immune microenvironment and regeneration pathways may shed light on new therapeutic opportunities for enhancing bone,cartilage,and soft tissue regeneration through regulation of the immune microenvironment.

Novel nanobubble technology in food science:Application and mechanism

Nanobubble technology is one of the latest green technologies in food industry applications.Nanobubbles(NBs)are gas-filled nanoscopic bubbles with a diameter of<500 nm.The mass production of bulk nano-bubbles raises growing interest due to their high stability,internal pressure,and an enormous surface-to-volume ratio.Also,they can increase surface area,alter the physicochemical characteristics of the medium,and facilitate mass transfer.Along with their size and stability,air,nitrogen,and carbon dioxide,NBs are widely recognized for their significance in food processing.The potential existence and ability of NBs to remain stable in liquids under ambient conditions have been a contentious issue for a long time due to the conventional thermodynamic theory.In this review,fundamental properties,and several generation methods of NBs have been described along with their mechanism.Moreover,NBs generation methods can produce fine and undeviating gas diffusion characteristics,which can be used to control the uniformity and textural qualities of various creamy and gel-based foods.Thus,we also described the possible applications of NBs along with their mechanism of action in extraction,freezing,foams,and film formation.The ability of NBs to impart health benefits makes them new,improved,and environmentally safe green techniques.

A review on protein based nanocarriers for polyphenols:interaction and stabilization mechanisms

Protein has been used as the carrier for protecting and targeting polyphenols and increasing their shelf-life.Interactions of a protein molecule with polyphenols are important,which change functions and physiochemical properties of the complex and provide protection to polyphenols.Interactions between proteins and polyphenols are largely non-covalent.Factors that affect such interactions include pH,temperature,and the structure of both proteins and polyphenols.Moreover,excellent stability of polyphenols can be achieved by using nanoencapsulation techniques such as emulsion,nanohydrogel,and nanocomplex formation.The use of protein combined with other compounds such as lipids and carbohydrates was found to be the most suitable carrier for polyphenols encapsulation.This review aims to describe the interaction between proteins and polyphenols,focusing on applying nanoencapsulation for increasing stability and targeted delivery of phenolic compounds.

构造楔形体的识别与勘探--以准噶尔盆地南缘为例

构造楔形体的形成需要两个条件,一是两条相互连接的断层,二是这两条断层的位移传递方向相反。当反向传递的位移量切割了上覆地层,通常在楔形体前翼形成具指示意义的背斜构造,此类背斜可作为判断深部构造楔形体存在的直接依据。准噶尔盆地南缘3排背斜内带的构造楔形体模式非常典型,并表现为"混序"的特征。在山前深部楔形体沿侏罗系西山窑组煤层向北扩展过程中,部分位移量沿构造楔顶部的反冲断层向南消减,并切割上覆地层形成第一排背斜带,另一部分位移量则继续向北传递,在断坡位置引发褶皱变形,形成第二排和第三排背斜带。在总位移量保持稳定的前提下,这3排背斜带在走向上的此消彼长反映了位移量在南、北两个方向上的转换。准噶尔盆地南缘第二、三排背斜带中—新生界内部发育多个小型的构造楔形体,这些互相叠置的楔形构造横向延伸不大,但有可能构成独立的成藏系统,具有不同的油气水特征,从而造成同一个背斜带不同部位的含油气性迥异。在油气勘探中应通过加强地震采集、处理和解释攻关,力求精细刻画各个楔形构造在三维空间的展布,再针对已落实的楔形体展开钻探。