Unresolved Issues Research Articles

Equity Investment in Physician Practices: What's All This Brouhaha?

There have been two waves of equity-based investment in physician practices. Both used a combination of public and private sources but in different mixes. The first investment wave, in the 1990s, was led by public equity and physician practice management companies, with less involvement by private equity (PE). The second investment wave followed the Affordable Care Act and was led by PE firms. It has generated concerns of wasteful spending, less cost-effective care, and initiatives harmful to patient welfare. This article compares the two waves and asks if they are parallel in important ways. It describes the similarities in the players, driving forces, acquisition dynamics, spurs to consolidation, types of equity involved, models to organize physicians, and levels of market penetration achieved. The article then tackles three unresolved issues: Does PE investment differ from other investment vehicles in concerning ways? Does PE possess capabilities that other investment vehicles lack and confer competitive advantage? Does physician practice investment offer opportunities for supernormal profits? It then discusses ongoing trends that may disrupt PE and curtail its practice investment. It concludes that past may be prologue, that is, what happened during the 1990s may well repeat, suggesting the PE threat is overblown.

Challenges and Strategies of Developing Certified Anesthetist Nurse Practitioners in the Post-Pandemic Era in Taiwan

<p>臺灣的麻醉護理在專業定位、執業範圍、證照考試和標準化訓練制度等方面面臨著諸多挑戰，尤其2020 年衛生福利部雖將麻醉護理師正式納入專科護理師之制度內，但後續所推行之標準化課程也衍生出更多待解決之難題，如：未導入核心能力架構及評量機制、欠缺思考成人學習理論、龐大的訓練課程時數、麻醉專師之師資量能不足及欠缺系統性師資培育等窘境。本文提出二項教育改革的因應策略，首先是建構以勝任能力導向的麻醉專科護理教育架構並發展麻醉訓練專師之系統性評量工具，即「可信賴專業活動」，未來則需建立共創教學和共享資源文化，以促進教師之間的協作和知識分享，期能提高教學品質，並為教師和學員帶來更豐富、多元化的學習體驗。本文呼籲麻醉專師訓練應即刻進行課程再造，打破傳統以知識和時間為本的教學框架，改以混成授課、自主學習作為課程規劃與執行之原則，積極接軌「勝任能力導向教育」的全球發展趨勢，朝向共創、共享之目標邁進。</p> <p> </p><p>Anesthetist nurse practitioners in Taiwan encountered several challenges, particularly in terms of professional identity, scope of practice, certification, and standardized training programs. In 2020, the Ministry of Health and Welfare in Taiwan recognized anesthetist nurse practitioner as one of the advanced practice nurses and included them under the regulation of the nurse practitioner system. However, the implementation of the nationwide standardized training program had faced some unre-solved issues and challenges including that the lack of alignment with competency frameworks or pro-grammatic assessments, the extensive increase of training courses, neglects of adult learning theories, shortage of nurse anesthetists instructors, and lack of faculty development system for nurse anesthetist instructors. This article proposes two initiatives as responses to educational reform: 1. constructing a competency-based framework and developing programmatic assessments for training Student Reg-istered Nurse Anesthetist Nurse Practitioner (SRNANP) ; 2. establishing a culture of collaborative teaching and resource sharing. The new culture enhances teaching quality and provides a richer, more diverse learning experience for both trainers and trainees. The article emphasizes the need for im-mediate curriculum transformation in SRNANP training. It emphasizes on the removal of traditional knowledge-centric and time-centric teaching frameworks and focused on adopting blended learning and self-directed learning principles. By aligning with the global trend of competency-based educa-tion, we can actively move toward the goal of co-creation and resource sharing</p> <p> </p>

MQTT Systems: A Survey

Abstract: In today's era, billions of intelligent devices populate Internet of Things (IoT) environments worldwide, spanning homes, hospitals, factories, and vehicles. Consequently, the interconnected device count continues to surge at a rapid pace. These devices engage in communication with one another and with various services using diverse communication protocols to transport sensor or event data. These protocols facilitate applications in gathering, storing, processing, describing, and analyzing data to address a myriad of challenges. Additionally, IoT endeavors to furnish secure, bidirectional communication between interconnected devices like sensors, actuators, microcontrollers, or smart appliances, and corresponding cloud services. This study shows that into the evolution of Machine-to-Machine (M2M) protocol research, including MQTT, AMQP, and CoAP, spanning the past two decades, underscoring MQTT's pronounced growth trajectory. Furthermore, we compile pertinent application domains of MQTT, recognized as the predominant M2M/IoT protocol, via an exhaustive literature review across major digital research repositories. Here quantitative assessment illuminates key MQTT-related studies published in the last five years, facilitating a comparative discourse on MQTT protocol's principal attributes, advantages, and constraints. Additionally, we propose a taxonomy to juxtapose the properties and features of diverse MQTT implementations, encompassing brokers and libraries available in the public domain, aiding researchers and end-users in judiciously selecting a broker or client library tailored to their requisites. Ultimately, we finalize the pertinent outcomes of our comparison, spotlighting unresolved issues warranting further research.

Advanced Electrospinning Technology Applied to Polymer-Based Sensors in Energy and Environmental Applications.

Due to its designable nanostructure and simple and inexpensive preparation process, electrospun nanofibers have important applications in energy collection, wearable sports health detection, environmental pollutant detection, pollutant filtration and degradation, and other fields. In recent years, a series of polymer-based fiber materials have been prepared using this method, and detailed research and discussion have been conducted on the material structure and performance factors. This article summarizes the effects of preparation parameters, environmental factors, a combination of other methods, and surface modification of electrospinning on the properties of composite nanofibers. Meanwhile, the effects of different collection devices and electrospinning preparation parameters on material properties were compared. Subsequently, it summarized the material structure design and specific applications in wearable device power supply, energy collection, environmental pollutant sensing, air quality detection, air pollution particle filtration, and environmental pollutant degradation. We aim to review the latest developments in electrospinning applications to inspire new energy collection, detection, and pollutant treatment equipment, and achieve the commercial promotion of polymer fibers in the fields of energy and environment. Finally, we have identified some unresolved issues in the detection and treatment of environmental issues with electrospun polymer fibers and proposed some suggestions and new ideas for these issues.

Local electronic structures of annealing induced phases in cobalt doped TiO2 nanoparticles: a combined study of transmission electron microscopy and x-ray absorption fine structure spectroscopy

The evolution of the nanostructures and electronic properties of 5% cobalt-doped TiO2 nanoparticles (NPs) annealed at 400 °C, 600 °C, and 800 °C have been investigated to understand the structural phase transformations through chemical co-precipitation synthesis. A detailed analysis of the X-ray Diffractogram confirms that the sample annealed at 400 °C is anatase, at 600 °C, the mixed phase of anatase and rutile evolves, and at 800 °C, the sample is of rutile structure. A detailed morphological study by scanning transmission electron microscope provides the particle size, lattice spacing, and variation in polycrystalline grain growth at different phases. Electron Energy Loss Spectroscopy analysis indicates from the O K, Co, and Ti L 2,3-edges that Ti4+ ions are primarily in an octahedral symmetry with the oxygen ligands changing their structural phases from anatase to mixed phase and then stable rutile phase with increasing temperature of annealing. X-ray Absorption Near Edge Spectroscopy (XANES) extracts information about the varying oxidation states and 3-dimensional geometry of Ti-ions. The unresolved issues of the structural details at the atomic-scale picture with the local environment of the cation with a few nearest neighbour shells are derived from Extended X-ray Absorption Fine Structure (EXAFS) and pre-edge parts of the absorption spectra. The limits of EXAFS in this situation of asymmetric bond length disorder, which is typical for mixed-valence oxides, are generated to reconcile the two data and highlight the value of pre-edge XANES analysis for identifying local heterogeneities in structural and compositional motifs. TiO2 possesses unique properties depending upon its structural phase. The Ti L 2,3-edge spectrum indicates that there is an octahedron connectivity of the Oxygen atoms at the anatase state which transforms to a higher energetic tetrahedral correspondence as it proceeds towards the rutile phase. The driving force behind such interest is to modulate the properties of TiO2 NPs to better photocatalytic material and to integrate its application as a versatile energy storage device.

The problem of winter navigation in the medieval Black Sea

Unlike the pre-industrial practice of winter navigation in the Mediterranean Sea, which has been the subject of numerous studies, winter seafaring on the medieval Black Sea has not previously been the subject of thorough scholarly investigation, not least because the available sources are relatively few and fairly circumstantial. Being aware of the limitations of the present survey, the author attempts to gather together and reinterpret several instances dating from the period of the Byzantine and Italian domination over the Black Sea, which can shed some light on the seamen's often complicated relation with the winter season. The majority of the extant sources date from the last two centuries of the Middle Ages, an era that witnessed substantial technological developments which contributed to the amelioration of winter navigation. This study chiefly aims to highlight the unresolved issues and address the challenges that such a topic of inquiry presents.

Fragment-Based Deep Learning for Simultaneous Prediction of Polarizabilities and NMR Shieldings of Macromolecules and Their Aggregates.

Simultaneous prediction of the molecular response properties, such as polarizability and the NMR shielding constant, at a low computational cost is an unresolved issue. We propose to combine a linear-scaling generalized energy-based fragmentation (GEBF) method and deep learning (DL) with both molecular and atomic information-theoretic approach (ITA) quantities as effective descriptors. In GEBF, the total molecular polarizability can be assembled as a linear combination of the corresponding quantities calculated from a set of small embedded subsystems in GEBF. In the new GEBF-DL(ITA) protocol, one can predict subsystem polarizabilities based on the corresponding molecular wave function (thus electron density and ITA quantities) and DL model rather than calculate them from the computationally intensive coupled-perturbed Hartree-Fock or Kohn-Sham equations and finally obtain the total molecular polarizability via a linear combination equation. As a proof-of-concept application, we predict the molecular polarizabilities of large proteins and protein aggregates. GEBF-DL(ITA) is shown to be as accurate enough as GEBF, with mean absolute percentage error <1%. For the largest protein aggregate (>4000 atoms), GEBF-DL(ITA) gains a speedup ratio of 3 compared with GEBF. It is anticipated that when more advanced electronic structure methods are used, this advantage will be more appealing. Moreover, one can also predict the NMR chemical shieldings of proteins with reasonably good accuracy. Overall, the cost-efficient GEBF-DL(ITA) protocol should be a robust theoretical tool for simultaneously predicting polarizabilities and NMR shieldings of large systems.

Global supply chains security: a comparative analysis of emerging threats and traceability solutions

PurposeThe purpose of this study is to increase awareness of current supply chain (SC) security-related issues by providing an extensive analysis of existing SC security solutions and their limitations. The security of SCs has received increasing attention from researchers, due to the emerging risks associated with their distributed nature. The increase in risk in SCs comes from threats that are inherently similar regardless of the type of SC, thus, requiring similar defence mechanisms. Being able to identify the types of threats will help developers to build effective defences.Design/methodology/approachIn this work, we provide an analysis of the threats, possible attacks and traceability solutions for SCs, and highlight outstanding problems. Through a comprehensive literature review (2015–2021), we analysed various SC security solutions, focussing on tracking solutions. In particular, we focus on three types of SCs: digital, food and pharmaceutical that are considered prime targets for cyberattacks. We introduce a systematic categorization of threats and discuss emerging solutions for prevention and mitigation.FindingsOur study shows that the current traceability solutions for SC systems do not offer a broadened security analysis and fail to provide extensive protection against cyberattacks. Furthermore, global SCs face common challenges, as there are still unresolved issues, especially those related to the increasing SC complexity and interconnectivity, where cyberattacks are spread across suppliers.Originality/valueThis is the first time that a systematic categorization of general threats for SC is made based on an existing threat model for hardware SC.

Stability Challenges for a Highly Efficient Perovskite/Silicon Tandem Solar Cell: A Review

As the balance of system cost of photovoltaic (PV) installations governs the competitiveness of PV device market, next‐generation solar cells desire substantially enhanced power conversion efficiencies (PCEs). The single‐junction perovskite and Si solar cells have demonstrated PCEs beyond 26% and 25%, respectively. The tandem configuration has crossed the threshold posed by the shockley queisser limit by demonstrating the 33.9% PCE. However, the unresolved issues in the perovskite community from a stability perspective pose challenges for realizing highly efficient and stable perovskite–Si tandem solar cells (TSCs). This review highlights the current status of perovskite–Si TSC from a stability perspective besides elucidating the degradation mechanisms at the perovskite–Si at the cell and module level. A highly efficient perovskite–Si TSC needs optimization keeping view the specific requirements for tandem configuration like strain, current matching, and bandgap optimization between the top perovskite and bottom Si subcell. Various stressors affecting the efficiency of the perovskite–Si module, namely, reverse bias and hot spot formation, and delamination, highlight valuable insight to develop future strategies for the perovskite–Si TSC. Stability regimes for the single‐junction perovskite solar cell can provide the essential stepping stone but, modified stability regimes are inevitable.

A Guzheng Musical Aesthetic on "Hai Zhi Bolan" based on Chinese Aesthetic Education

Background and Aim: Performing and teaching Guzheng is very popular in China. Some musicians create many songs. Scholars have tried to create new exercises and explain the qualities of songs for Guzheng. Hai Zhi Bolan is another song that is recognized for its beautiful aesthetic, for the song to be published, have a better understanding of the song. This article therefore aims to study the aesthetics of the Hai Zhi Bolan song, which was composed with the Guzheng according to the study of Chinese aesthetics. Materials and Methods: The researcher opted for document review due to the presence of multiple authors. When encountering ambiguous or uncertain matters not documented, they conducted interviews with five artists and famous academics, utilizing appointments to address any unresolved issues. Subsequently, conduct a review and deliver a comprehensive descriptive analysis. Data collection and analysis were conducted from August 2021 to November 2023. Results: 'Hai Zhi Bolan' played on Wang Ruiwon's Guzheng is made up of 24 poems about motion and stillness. 'Hai Zhi Bolan' on Wang Ruiwon's Guzheng has 24 motion-and-stillness poems. The 10-minute tune has 288 bars. Guzheng rhythms emphasize melody rhythm on the first, fourth, and seventh beats. Special features include strong rhythm and sixteenth notes. Tempo, emotion, and nature scenes like mountains, water, wind, and birds make up the melody. The timbre enhances the melody. Guzheng practice/performance. Practicing: The musicians use their hands, wrists, and fingers to create a powerful, harmonized sound that matches the Guzheng melody and rhythm. Trainers must understand: Scrubbing, shaking, and volume control. Performing: Music appreciation goes beyond hearing. Guzheng performers' breathing, attitudes, and movements move audiences. Volume, loudness-softness, elasticity, noise reduction, listening more, etc. Faces, emotions, and body movements are performed professionally. Coherent performances require sensible breathing and pauses. Conclusion: 'Hai Zhi Bolan' played on guzheng is made on Wang Ruiwon. Guzheng rhythms emphasize melody, rhythm, tempo, and emotion, and nature scenes like nature make up a melody and add timbre, which enhances the melody. Practicing: the musicians use their hands, wrists, and fingers to create a powerful, harmonized sound that matches the melody and rhythm. Scrubbing, shaking, and volume control. Performing: music appreciation goes beyond hearing. breathing, attitudes, and movements move audiences. Faces, emotions, and body movements. To ensure sustainable professional development, the aesthetic culture of guzheng music and teaching and learning management systems must be in alignment with the career aspirations of young individuals interested in music.

EVALUATING GENERATIVE ARTIFICIAL INTELLIGENCE AND INTERNET SEARCHES IN FOREIGN LANGUAGE GRAMMAR LEARNING: EXAMINING THE ROLE OF EXPERTS THROUGH A STUDY ON VOCABULARY BEGINNING WITH “MER-” IN MALAY

This study aimed to clarify the usefulness and limitations of generative artificial intelligence (AI) and online information in the self-study of foreign languages, and to reassess the domain of roles that humans, such as language teachers and experts, should perform. As a learner of Malay, the author attempted to pursue this objective by seeking solutions to grammar-related questions that arose during the process of learning Malay without directly asking teachers or specialists, instead posing questions to generative AI or conducting Internet searches.&#x0D; The author first pursued the question of using the form "mer-" as a prefix-like element in Malay. The author attempted to resolve this question by applying it to generative AI, including ChatGPT, and by conducting an Internet search. It transpired that the generative AI could not distinguish between prefixes and other elements, and thus failed to resolve the question. Next, through an Internet search and reviewing literature, although no discussions on "mer-" were found in Japan, the following three positions regarding "mer-" were observed in Malaysia: (1) the prefix "mer-" does not exist at all, (2) "mer-" used to be a prefix in the past but was no longer considered as such, and (3) it should be "mar-" instead of "mer-." However, it was not possible to obtain information on whether there possibly were other positions, or if one of these positions had been conclusively proven to be correct. Translations by ChatGPT proved to be useful for understanding literature written in Malay. Internet searches were effective in identifying the relevant literature, even with small search terms. Language teachers and experts are needed for answering to learner’s grammar-related questions. They would also contribute to the development of specialized AI capable of answering grammar-related questions, enabling AI to fulfill this role for learners in the future. Language teachers and experts can then focus on researching other unresolved issues.

Open Reduction and Transosseous Plasty of the Dorsal Scapholunate Ligament in a Patient with Mayfield type IV Chronic Lunate Dislocation, Case Report, Literature Review and Description of Surgical Technique

Introduction Perilunate dislocations represent 3% of carpal injuries. They begin in a radial direction, destabilizing the scapholunate interval, and as the injury continues, there is a progressive sequence of instability, altering the anatomy of the carpus, causing significant functional deterioration. The acute diagnosis goes unnoticed, evolving into its chronic form. There are few reports of treatment in its chronic phase with a limited number of patients and follow-up evaluation is often limited. Objective We present a case of late diagnosis of chronic lunate dislocation that was managed surgically and review of the existing literature for diagnosis and treatment, as well as the surgical technique for its resolution. Clinical case 66-year-old male, fall from the plane of support, hyperextension mechanism of the right wrist, 2 months of evolution causing pain, progressive increase in volume, functional limitation. Treated with non-steroidal anti-inflammatory drugs for four weeks without improvement. Radiographically, loss of lunate joint congruity - capitate. Magnetic resonance images of avascular necrosis of the lunate. Diagnosing chronic semilunar dislocation of the right hand. Preoperative Quick-Dash 70.4 pts. A double dorsal and volar approach is performed to release the carpal tunnel, place a transosseous cerclage, and three 1.6 mm Kirschner pins in the scapholunate interval; semilunopyramidal and scaphocapitate. Immobilization with antebrachipalmar splint, removal of Kirschner pins at 7 weeks and referral to physical rehabilitation. 20 postoperative weeks, range of motion with flexion of 35° and extension of 30°, without visible sequelae to mobilization, and with Quick-Dash 20.4. Conclusion Early diagnosis and treatment are necessary to prevent the potential risk of avascular necrosis of the lunate and scaphoid, and secondary osteoarthritis. Reconstruction of the chronic pathology of lunate dislocation and scapholunate ligament (SL) remains a major challenge. There are unresolved issues regarding when to perform reconstruction rather than repair and therefore treatment remains controversial.

Myocarditis in children.Etiology. Pathogenesis. Epidemiology. Clinical presentation

Readers will be presented with a series of articles on myocarditis in children, which are based on clinical guidelines developed by a group of authors on this topic. Myocarditis is an inflammatory myocardial disease characterized by a wide range of clinical manifestations — from minor to sudden cardiac death. Given the absence of pathognomonic symptoms, as well as the similarity of manifestations in the onset with common childhood diseases such as respiratory distress, gastrointestinal diseases, infectious pathology, specialists often overlook the likelihood of a diagnosis of “myocarditis”, which causes a late start of therapy and an adverse outcome. Considering that myocarditis accounts for 12% of cases of sudden cardiac death in adolescents and young adults, suspicion of this disease in differential diagnosis in children with nonspecific symptoms and disease progression may be the key to the formation of a proper treatment strategy. Despite significant advances in the study of myocarditis in both adults and children, there are still many unresolved issues. The purpose of this article is to highlight the current view of the etiology, pathogenesis, epidemiology and clinical features in children with various types of myocarditis in order to increase the knowledge of practitioners for better clinical management of patients with myocarditis.

Fluorescent imaging and toxicology study of alga-derived carbon dots in zebrafish

With the widespread application of carbon dots (CDs) in fluorescence imaging, their toxicity has become a focal point of concern. The potential toxicity of CDs synthesized from different raw materials remains an unresolved issue. Laver and wakame, which are commonly popular sea vegetable foods rich in nutrients, were utilized to investigate whether synthetic CDs derived from these alga sources retain medicinal value. Herein, two types of fluorescent alga-derived CDs were prepared through hydrothermal synthesis using laver and wakame respectively. Zebrafish were immersed in both types of CDs to observe their fluorescence imaging effects within the zebrafish bodies. It was observed that laver-derived CDs and wakame-derived CDs exhibited similar luminescence properties but differed in terms of fish egg imaging localization. Additionally, intestinal flora sequencing revealed varying degrees of influence on the zebrafish gut microbiota by the two types of CDs, suggesting that both alga-derived CDs could enhance the abundance of intestinal flora in zebrafish.

Increased reliance on temporal coding when target sound is softer than the background

Everyday environments often contain multiple concurrent sound sources that fluctuate over time. Normally hearing listeners can benefit from high signal-to-noise ratios (SNRs) in energetic dips of temporally fluctuating background sound, a phenomenon called dip-listening. Specialized mechanisms of dip-listening exist across the entire auditory pathway. Both the instantaneous fluctuating and the long-term overall SNR shape dip-listening. An unresolved issue regarding cortical mechanisms of dip-listening is how target perception remains invariant to overall SNR, specifically, across different tone levels with an ongoing fluctuating masker. Equivalent target detection over both positive and negative overall SNRs (SNR invariance) is reliably achieved in highly-trained listeners. Dip-listening is correlated with the ability to resolve temporal fine structure, which involves temporally-varying spike patterns. Thus the current work tests the hypothesis that at negative SNRs, neuronal readout mechanisms need to increasingly rely on decoding strategies based on temporal spike patterns, as opposed to spike count. Recordings from chronically implanted electrode arrays in core auditory cortex of trained and awake Mongolian gerbils that are engaged in a tone detection task in 10 Hz amplitude-modulated background sound reveal that rate-based decoding is not SNR-invariant, whereas temporal coding is informative at both negative and positive SNRs.

Biofilm removal from Difficult-to-Reach places via secondary cavitation within a constrained geometry mimicking a Periodontal/Peri-Implant pocket

Biofilm removal from the apical region of the periodontal or peri-implant pocket, which is very difficult to achieve with mechanical instruments, is a major unresolved issue in dentistry. Here, we propose the use of photoacoustically induced streaming and secondary cavitation to achieve superior cleaning efficacy in the apical region of the periodontal and peri-implant pocket. We have used a prefabricated narrow wedge system that mimics the consistency of periodontal and peri-implant pockets of both healthy and severely inflamed tissue. We studied the effect of single-pulse modality Er:YAG on Pseudomonas aeruginosa biofilm removal. We used different laser energies, fiber-tip positions, and laser treatment durations. The cleaning process was monitored in real-time with a high-speed camera after each individual laser pulse application. The obtained results suggest that biofilm cleaning efficacy in a difficult-to-reach place in healthy model tissue is directly related to the onset of secondary cavitation bubble formation, which correlates with a significant improvement of biofilm removal from the apical region of the periodontal or peri-implant pocket. In comparison to the healthy tissue model, the laser energy in inflamed tissue model had to be increased to obtain comparable biofilm cleaning efficacy. The advantage of photoacoustic cavitation compared to other methods is that laser-induced cavitation can trigger secondary cavitation at large distances from the point of laser application, which in principle allows biofilm removal at distant locations not reachable with a laser fiber tip or other mechanical instruments.

Urban Traffic Flow Prediction Based on Bayesian Deep Learning Considering Optimal Aggregation Time Interval

Predicting short-term urban traffic flow is a fundamental and cost-effective strategy in traffic signal control systems. However, due to the interrupted, periodic, and stochastic characteristics of urban traffic flow influenced by signal control, there are still unresolved issues related to the selection of the optimal aggregation time interval and the quantifiable uncertainties in prediction. To tackle these challenges, this research introduces a method for predicting urban interrupted traffic flow, which is based on Bayesian deep learning and considers the optimal aggregation time interval. Specifically, this method utilizes the cross-validation mean square error (CVMSE) method to obtain the optimal aggregation time interval and to establish the relationship between the optimal aggregation time interval and the signal cycle. A Bayesian LSTM-CNN prediction model, which extends the LSTM-CNN model under the Bayesian framework to a probabilistic model to better capture the stochasticity and variation in the data, is proposed. Experimental results derived from real-world data demonstrate gathering traffic flow data based on the optimal aggregation time interval significantly enhances the prediction accuracy of the urban interrupted traffic flow model. The optimal aggregation time interval for urban interrupted traffic flow data corresponds to a multiple of the traffic signal control cycle. Comparative experiments indicate that the Bayesian LSTM-CNN prediction model outperforms the state-of-the-art prediction models.

Age-related changes in human skeletal muscle transcriptome and proteome are more affected by chronic inflammation and physical inactivity than primary aging.

Evaluation of the influence of primary and secondary aging on the manifestation of molecular and cellular hallmarks of aging is a challenging and currently unresolved issue. Our study represents the first demonstration of the distinct role of primary aging and chronic inflammation/physical inactivity - the most important drivers of secondary aging, in the regulation of transcriptomic and proteomic profiles in human skeletal muscle. To achieve this purpose, young healthy people (n = 15), young (n = 8) and older (n = 37) patients with knee/hip osteoarthritis, a model to study the effect of long-term inactivity and chronic inflammation on the vastus lateralis muscle, were included in the study. It was revealed that widespread and substantial age-related changes in gene expression in older patients relative to young healthy people (~4000 genes regulating mitochondrial function, proteostasis, cell membrane, secretory and immune response) were related to the long-term physical inactivity and chronic inflammation rather than primary aging. Primary aging contributed mainly to the regulation of genes (~200) encoding nuclear proteins (regulators of DNA repair, RNA processing, and transcription), mitochondrial proteins (genes encoding respiratory enzymes, mitochondrial complex assembly factors, regulators of cristae formation and mitochondrial reactive oxygen species production), as well as regulators of proteostasis. It was found that proteins associated with aging were regulated mainly at the post-transcriptional level. The set of putative primary aging genes and their potential transcriptional regulators can be used as a resource for further targeted studies investigating the role of individual genes and related transcription factors in the emergence of a senescent cell phenotype.

Recent Advances in Dissecting the Function of Ethylene in Interaction between Host and Pathogen.

Pathogens influence the growth and development of plants, resulting in detrimental damage to their yields and quality. Ethylene, a gaseous phytohormone, serves a pivotal function in modulating diverse physiological processes in plants, including defense mechanisms against pathogen invasion. Ethylene biosynthesis is involved in both plants and pathogens. Recent empirical research elucidates the intricate interactions and regulatory mechanisms between ethylene and pathogens across various plant species. In this review, we provide a comprehensive overview of the latest findings concerning ethylene's role and its regulatory networks in host-pathogen interactions. Additionally, we explore the crosstalk between ethylene and other phytohormones. Points regarding ethylene emission and its modulation by pathogens are also emphasized. Moreover, we also discuss potential unresolved issues in the field that warrant further investigation.

Limitations and Progresses in Carbon-Based Cesium Lead Halide Perovskite Solar Cells.

Inorganic cesium lead halide perovskites (CsPbIx Br3-x , 0≤x≤3) are promising alternatives with great thermal stability. Additionally, the choice of moisture-resistive and dopant-free carbon as the electrode material can simultaneously solve the problems of stability and cost. Therefore, carbon electrode-based inorganic PSCs (C-IPSCs) represent a promising candidate for commercialization, yet both the efficiencies and stability of related devices demand further progress. This article reviews the recent advancement of C-IPSCs and then unravels the distinctive merits and limitations in this field. Subsequently, our perspective on various modification strategies is analyzed on a methodological level. Finally, this article outlooks the promising research contents and the remaining unresolved issues in this field. We believe that understanding and analyzing the related problems in this field are instructive to stimulate the future development of C-IPSCs.