Latifa Bakiri1,2,*, Sebastian C. Hasenfuss2,§, Ana Guío-Carrión2,#, Martin K. Thomsen3, Peter Hasselblatt4 and Erwin F. Wagner1, 5,*1 Laboratory Genes and Disease, Department of Laboratory Medicine, Medical University of Vienna (MUW), Vienna, Austria.2 Genes, Development and Disease Group, CNIO - National Cancer Research Centre, Madrid, Spain.3 Department of Biomedicine, University of Aarhus, Denmark.4 Department of Medicine II, University Hospital and Faculty of Medicine, Freiburg, Germany.5 Laboratory Genes and Disease, Department of Dermatology, Medical University of Vienna (MUW), Vienna, Austria.§ Current address: Beam Therapeutics, Cambridge, Massachusetts, USA.# Current address: CNIC - National Center for Cardiovascular Research, Madrid, Spain.* Corresponding authors: Latifa Bakiri & Erwin F. Wagner, Department of Laboratory Medicine and Department of Dermatology, Medical University of Vienna, Lazarettgasse 14, A-1090 Vienna, Austria.Tel: +43-1-40400-73506.e-mail: erwin.wagner@meduniwien.ac.at, latifa.bakiri@meduniwien.ac.atRunning title: c-Jun/Fra-2 dimers in liver cancerThis is a prefinal, unformatted author copy of a manuscript published in PNAS:  PMID: 38657045  / 'https://doi.org/10.1073/pnas.2404188121 Keywords : c-Jun/Fra-2, AP-1, HCC, mouse models, c-Myc

The renal resistivity index is a tool to evaluate the hemodynamics through arterial resistance. Considering perfusion as one of the first aspects to be affected upon kidney injury, alterations in renal blood flow could be especially important for the early detection of kidney damage. The aim of this systematic review was to retrieve published studies on equine renal resistivity index (RI) in order to develop a standardized method of renal ultrasound examination through a transabdominal approach as well as to evaluate current reference range for renal RI value in horses. An electronic search in Science Direct, PubMed, Scopus and Web of Science databases was performed in February 2023 using the terms “RI” OR “resistivity index” OR “IP” OR “pulsatility index” AND (kidney OR renal) AND (equine OR horse) in titles, keywords and abstracts. The studies were screened based on inclusion criteria and variables of interest were extracted. To assess the methodological quality, the SYRCLES‘s risk of bias tool was used. From the search, a total of 134 studies were identified and five of them were considered eligible. The selected studies had been conducted in healthy non-sedated horses through transabdominal technique. The upper limit of normality for renal RI was 0.58 ± 0.06 for the right kidney of untrained horses, which is considerably lower than the value of 0.70 currently used for humans, cats and dogs. There were heterogenous outcomes among studies, where two out of the five demonstrated difference between RI value of left and right kidneys and one out of the five showed increased renal RI value in the elderly compared to foals and adult animals. Data of RI in horses is still scarce; a normality standard for renal RI studies in horses would greatly improve comparison and good quality results to allow clinical application.

Heptaminol-Induced Hair Depigmentation in a Hemodialysis PatientZmiti.R1, Litaiem.N1, Abderrahim.E2, Zeglaoui.F11) Dermatology department , Charles Nicole hospital, Tunis, Tunisia2) Nephrology department, Charles Nicole hospital , Tunis , TunisiaAbstract: Hair depigmentation induced by heptaminol has been rarely described. We report a case of a patient undergoing treatment with heptaminol (heptamyl) who had chronic renal failure and had been receiving hemodialysis since 2021. Reversal of the hypopigmentation occurred upon cessation of the medication. The precise mechanism underlying the alteration in hair color remains unknown.Keywords: Heptaminol, hair, depigmentation, skin , chronic renal failure(CRF)

INTRODUCTIONMeckel’s diverticulum, is a gastrointestinal tract malformation, identified in approximately 2% of individuals, typically located approximately 60 cm (2 ft) from the cecum. In most cases, it measures around 5 cm (2 in) in length, although variations in can occur. The diverticulum signifies the intestinal termination of the vitellointestinal duct. Under normal circumstances, this duct undergoes obliteration and is replaced by a fibrous cord. The origin of this anomaly lies in the incomplete development of the yolk duct.[1]In certain instances, Meckel’s diverticulum may contain gastric mucosa, liver, or pancreatic tissue, rendering it susceptible to perforations. Additionally, it may become incarcerated in the inguinal canal or femoral hernia, or other anatomically weak points within the abdominal cavity, a condition often referred to as Littre hernia. In this particular case, we present an exceptionally rare occurrence—a Meckel’s diverticulum associated with an enterocutaneous fistula extending to the umbilicus. [1, 2]

Title:Tick-infected upper eyelid of a chicken farmer:a Case ReportAuthors and Affilications:Qi-bin Xu, MD1, Huo-yan Lian, MD2, Zhi-yi Hu, MD3,Qi-bin Xu, MDDepartment of Ophthalmology, Zhejiang Medicine and Western Medicine integrated Hospital, Hangzhou Red-Cross Hospital, Zhejiang Hangzhou, China.Huo-yan Lian, MDDepartment of Ophthalmology, The Third People’s Hospital Of HangZhou Linan District, , Zhejiang Hangzhou, China.Note: Qi-bin Xu and Huo-yan Lian are both considered as first author.

Large Cerebral Tuberculoma

The Internet of Things (IoT) is an amalgamation of interdisciplinary technologies that paved the way for novel and unprecedented possibilities and use cases. Although IoT technology will impact every human on this planet in the future, it will have an impact with no uncertain terms in various domains. In the healthcare domain, the IoT has its influence on making once impossible things into reality. Remote patient monitoring (RPM) has the potential to save the lives of people and improve quality of service (QoS) in healthcare units. It also saves time, effort and money in addition to preventing the death of people with its real-time monitoring of patients’ vital signs and providing treatment without delay. This is the motivation behind taking up this research. The existing endeavours in realizing an RPM system are step forward toward this goal. However, there is more to be done to achieve a reliable and secure RPM that serves the intended purpose. In this paper, we strive to take this research forward by implementing an efficient RPM system with a functional prototype. The proposed system is known as the IoT-driven Intelligent Remote Patient Monitoring System (IIRPMS). It sheds light on the mechanisms of the RPM and its utility to people in general. The proposed RPM is implemented using interoperable programming practices. It has artificial intelligence (AI)-enabled methods for the diagnosis of diseases. The proposed method for heart disease prediction is known as the Hybrid Bioinspired Model, which exploits the adaptive neuro-fuzzy inference system (ANFIS) algorithm whose parameters are optimized by a modified salp swarm optimization (MSSO) technique. The system has a provision for patient attendants and doctors to monitor patient vital signs and diagnosis results in real time. On observation of discrepancies in the patient’s vital signs, doctors can take steps to treat patients in near real time, which will minimize the mortality rate caused by cardiovascular and other such diseases that need real-time monitoring and treatment. The proposed HBM outperforms the state-of-the-art methods with 99.45% accuracy

This paper suggests a high resolution, high frame rate strain mapping sensor that uses three layers to measure the position as well as the value of the strain applied at different locations of the sensor. The top layer which should be highly conductive can be connected to either a current source or a voltage source, depending on the value of conductivity separating it from the ground during the switching sequence. The middle layer which consists of a strain-compressible material, such as piezoresistive foam, exhibits a variable electric resistance the value of which decreases with the increase of the applied strain. In this paper, the sensor sensitivity ranges from 50 to 500 kPa, however it can accommodate any other type of piezoresistive material provided that an adequate calibration is done. The lower layer consists of segmented highly electrically conductive tracks, the pattern of which allows to detect both the location, and the strain intensity at the points of contacts. The sensor is designed to also compensate for eventual changes of the electric resistance function of the temperature. Additionally, it has the advantage to mitigate eventual crosstalks that may occur between adjacent electrodes, since it keeps grounding utmost two electrode, forcing the electric current to flow into only two points. To our best knowledge, these simultaneous attributes have not been reported by a single system. This yields the advantage of using the sensor for a wide range of applications, including rehabilitation and human-computer interaction. A series of experiments and FEM simulations reveal that the sensor is highly accurate and can provide both the location and intensity of multiple contacts with an accuracy of 97.5 % at a frame rate of 20 frames/s when using 29 electrodes.

China Telecom’s fifth-generation core (5GC) network is complicated owing to its characterizations of service-based architecture and network functions virtualization. Thus, it is vulnerable to network failures. When a failure occurs, operations and maintenance (O&M) experts need to first analyze the root cause based on their professional experience, and then recommend an available solution for the failure. However, 5GC network failures occur frequently, and most of them are similar. Thus, inviting O&M experts to the 5GC network scene is expensive and time-consuming (hourly level). In this paper, we propose a knowledge and data-driven 5GC network called failure location and automated mitigation (FLAM) mechanism. Particularly, FLAM demonstrates the expertise in dealing with various network failures by using knowledge graphs. Four state-of-the-art machine learning algorithms were compared in FLAM to determine which one can better locate the root cause of network failures. A real-time checking module was also designed to automatically diagnose the related network functions for network failures. Based on China Telecom’s real-wild data of network failures, the proposed mechanism was evaluated considering in the metrics of algorithm complexity and location accuracy. Experimental results show that the decision tree model had an accuracy of ∼ 99% for locating the root cause of network failures, outperforming the random forest, support vector machine, and k-nearest neighbor algorithms.

Introduction. Young people’s participation in their own mental healthcare requires ways for them to provide feedback to their clinicians on how they are experiencing their treatment. Key dimensions of session experience are willingness to attend, feeling listened to and understood, working on issues important to them, feeling hopeful for the future, and feeling that things are improving in their lives. This study reports on young people’s session experiences over time and by key demographics for headspace youth mental health services. Methods. The sample comprised 16,484 young people aged 12 to 25 years who commenced an episode of care at one of the 150 headspace centres between 1 July 2021 and 30 June 2022 and who had attended at least two services. Data were collected via the routinely collected headspace minimum data set. Results. Overall, young people reported very positive session experiences over all the session dimensions. Few demographic differences were found: session ratings were more positive for young adults (18+ years) compared with adolescents (under 18 years). Scores on all five dimensions improved with more visits, and willingness to attend and working on issues important to the young person were strong predictors of service engagement. Better session experience scores were associated with more positive ratings of quality of life. Conclusion. Young people experience their headspace sessions very positively, and more positive experiences are associated with better service engagement and quality of life. Routinely collecting session feedback gives young people a valuable way to participate in and inform their own care.

This paper provides a comprehensive analysis of modern techniques used in the assessment of cutaneous flaps in reconstructive surgery. It emphasizes the importance of preoperative planning and intra- and perioperative assessment of flap perfusion to ensure successful outcomes. Despite technological advancements, direct clinical assessment remains the gold standard. We categorized assessment techniques into non-invasive and invasive modalities, discussing their strengths and weaknesses. Non-invasive methods, such as Acoustic Doppler Sonography, Near-Infrared Spectroscopy, Hyperspectral Imaging Thermal Imaging, and remote-Photoplethysmography, offer accessibility and safety but may sacrifice specificity. Invasive techniques, including Contrast-Enhanced Ultrasound, Computed Tomography Angiography, Near-Infrared Fluorescence Angiography with Indocyanine Green, and Implantable Doppler Probe, provide high accuracy but introduce additional risks. We emphasize the need for a tailored decision-making process based on specific clinical scenarios, patient characteristics, procedural requirements, and surgeon expertise. It also discusses potential future advancements in flap assessment, including the integration of artificial intelligence and emerging technologies.

Cell viability and cytotoxicity assays play a crucial role in drug screening and evaluating the cytotoxic effects of various chemicals. The quantification of cell viability and proliferation serves as the cornerstone for numerous in vitro assays that assess cellular responses to external factors. In the last decade, several studies have developed guidelines for defining and interpreting cell viability and cytotoxicity based on morphological, biochemical, and functional perspectives. As this domain continues to experience ongoing growth, revealing new mechanisms orchestrating diverse cell cytotoxicity pathways, we suggest a revised classification for multiple assays employed in evaluating cell viability and cell death. This classification is rooted in the cellular compartment and/or biochemical element involved, with a specific focus on mechanistic and essential aspects of the process. The assays are founded on diverse cell functions, encompassing metabolic activity, enzyme activity, cell membrane permeability and integrity, ATP content, cell adherence, reduction equivalents, dye inclusion or exclusion, constitutive protease activity, colony formation, DNA fragmentation and nuclear splitting. These assays present straightforward, reliable, sensitive, reproducible, cost-effective, and high-throughput approaches for appraising the effects of newly formulated chemotherapeutic biomolecules on the cell survival during the drug development process.

Innovative companies rapidly deploy hybrid cloud computing to leverage highly scalable, flexible, and secure infrastructure, services, and applications. Hybrid cloud computing accelerates modern businesses by supporting innovation and faster development and deployment of cloud-hosted services and applications. Companies leverage innovative models such as Platform as a service, infrastructure as a service, and software to achieve strategic goals and objectives. However, despite the immense benefits, cloud computing is vulnerable to multiple cybersecurity threats and attacks. Distributing services and applications in a hybrid cloud computing environment requires secured and encrypted security solutions---the complex connection between various cloud infrastructures and varied configurations sophisticate data security in a cloud computing environment. The proposed security solution leverages a hybrid of cryptography and steganography to provide robust security and privacy of data in cloud computing. The algorithms and techniques combined include Rivest Sharmir Adelman, Advanced Encryption Standard, and Least Significant Bit. The security model designed and developed using design science research methodology adds an extra layer of security by integrating data backup and recovery mechanisms and best practices.

The SuperGLUE (Super General Language Understanding Evaluation) benchmark is utilized in the evaluation of natural language processing (NLP) systems. It comprises eight challenging tasks that test complex linguistic and cognitive abilities. This review focuses on five language models that achieved the best performances in executing the tasks of this benchmark up to the year 2023: Vega v2, ST-MOE-32B, METRO, ERNIE 3.0, and PaLM-540B. These models are examined in terms of their architectures, pre-training methods, and performance in the SuperGLUE tasks, providing a comprehensive comparison of their capabilities, technicalities, and innovations. The analysis highlights the ongoing evolution in the NLP field, reflecting significant advancements in the understanding and processing of human language by AI systems. This study offers insight into the current state of NLP technology and its implications, both in terms of technological development and practical applications.

Title :

Background subsurface vertical mixing rates in the Southern Ocean (SO) are known to vary by an order of magnitude temporally and spatially, due to variability in their generating mechanisms, which include winds and shear instabilities at the surface, and the interaction of tides and lee waves with rough bottom topography. There is great uncertainty in the parameterisation of this mixing in coarse resolution Earth System Models (ESM), and in the impact that this has on SO biological productivity on sub decadal timescales. Using a data assimilating biogeochemical-ocean model we show that SO phytoplankton productivity is highly sensitive to altering the background diapycnal mixing over short timescales. Changes the background vertical mixing rates alter key biogeochemical and physical conditions. A combination of reduced nutrient limitation and reduced light limitation causes a strong increase in SO phytoplankton productivity with higher background mixing. This leads to increased carbon export, which could alter the strength of the SO biological carbon pump and atmospheric CO$_2$ concentration over longer timescales, demonstrating the importance of an accurate representation of diapycnal mixing in ESM.

A document by Lu Zhang. Click on the document to view its contents.

Mpox is a zoonotic disease historically reported in Africa. Since 2003, limited outbreaks have occurred outside Africa. In 2022, the global spread of cases with sustained interhuman transmission and unusual disease features raised public health concerns. We explore the mpox outbreak in Rio de Janeiro (RJ) state, Brazil, in an observational study of mpox-suspected cases from June to December 2022. Data collection relied on a public healthcare notification form. Diagnosis was determined by MPXV-PCR. In 46 confirmed cases, anti-VACV IgG was determined by ELISA, and seven MPXV genomes were sequenced. A total of 3,095 cases were included, 816 (26%) with positive MPXV-PCR results. Most positive cases were men in their 30s and MSM. A total of 285 (35%) MPXV-PCR+ patients lived with HIV. Eight were coinfected with varicella-zoster virus. Anogenital lesions and adenomegaly were associated with the diagnosis of mpox. Females and individuals under 18 represented 9% and 5% of all confirmed cases, respectively, showing higher PCR cycle threshold values and fewer anogenital lesions than adult men. Anti-VACV IgG was detected in 29/46 (63%) patients. All analyzed sequences belonged to clade IIb. In RJ state, mpox presented a diverse clinical picture, represented mainly by mild cases with low complication rates and prominent genital involvement. The incidence in females and children was higher than usually reported. The observation of a bimodal distribution of Ct values, with few positive results, may suggest the need to review the diagnostic criteria in these groups.

The time needed by deep convection to bring the atmosphere back to equilibrium is called convective adjustment timescale or simply adjustment timescale, typically denoted by 𝜏. In the Community Atmospheric Model (CAM), convective adjustment timescale is a tunable parameter with one value, 1 hour, worldwide. Albeit, there is no justified reason why one adjustment timescale value should work over land and ocean both. Continental and oceanic convection are different in terms of the vigor of updrafts and hence can have different longevities. So it is logical to investigate the prescription of two different convective adjustment timescales for land (𝜏𝐿) and ocean (𝜏𝑂) . To understand the impact of representing land-ocean heterogeneity via 𝜏, we investigate CAM climate simulations for two different convective adjustment timescales for land and ocean in contrast to having one value globally. Following a comparative analysis of 5-year-long climate simulations, we find 𝜏𝑂 = 4 hrs and 𝜏𝐿 = 1 hr to yield the best results. Particularly, we find better MJO simulations. Although these 𝜏 values were chosen empirically and require further tunning, the conclusion of our finding remains the same, which is the recommendation to use two different 𝜏 values for land and ocean.

In order to maximize the promotion effect of renewable energy policies, this paper proposes a capacity allocation optimization method of wind power generation, solar power and energy storage in power grid planning under different policy objectives. Firstly, based on the policy quantification, grey relation analysis is used to calculate the correlation degree of the policy indicators on the planning capacity of renewable energy. Further, a multi-objective capacity estimation model is comprehensively presented. Some highly correlated policy indicators are transformed into the special constraints. And the economy and the stability of the power grid are integrated as the objective function. Meanwhile, the carbon trading and punishment for wind power and solar power abandonment is considered. Finally, the proposed model is solved by NSGA-Ⅱ-PSO algorithm. The novelty of the algorithm is that the crossover operation of NSGA-Ⅱ is replaced by the position updating of particle swarm. The calculation result of the case study can effectively evaluate the optimal planning capacity of renewable energy under different policies, while ensure the economic and the stability of the power system. The paper can provide the reasonable basis and the valid analytical method for the policy formulation and the renewable energy development.

The study proposes an innovative blockchain-based system aimed at revolutionizing hunger management by addressing the limitations of current centralized strategies. Existing approaches face challenges including corruption, poor implementation, insufficient funding, and subpar food quality. To overcome these issues, our solution leverages blockchain technology and integrates various components to establish a transparent, efficient, and accountable hunger management platform. The proposed blockchain-based framework for hunger mitigation represents a novel and unexplored approach in this field.

Early sowing can help summer crops escape drought and can mitigate the impacts of climate change on them, but it exposes them to cold stress during initial developmental stages, which has both immediate and long-term effects on development and physiology. To understand how early night-chilling stress impacts plant development and the yield, we studied the reference sunflower line XRQ under controlled, semi-controlled and field conditions. We performed high-throughput imaging of the whole plant parts and obtained physiological and transcriptomic data from leaves, hypocotyls and roots. We observed morphological reductions in early stages under field and controlled conditions, with a decrease in root development, an increase in reactive oxygen species content in leaves and changes in lipid composition in hypocotyls. A long-term increase in leaf chlorophyll suggests a stress memory mechanism that was supported by transcriptomic induction of histone coding genes. We highlighted leaf transcriptomes in cold-acclimation genes such as chaperone, heat shock and late embryogenesis abundant proteins. We identified genes in hypocotyls involved in lipid, cutin, suberin and phenylalanine ammonia lyase biosynthesis and ROS scavenging. This comprehensive study describes new phenotyping methods and candidate genes to understand phenotypic plasticity better in response to chilling and study stress memory in sunflower.

A document by Ronald Sherman. Click on the document to view its contents.

Introduction/Background: Anetoderma is a rare and benign skin disorder characterized by a loss of elastic tissue in the mid-dermis. Among the five main types, the secondary form typically develops in areas of damaged or pathological skin. Understanding the origin of the anetoderma is pivotal for accurate diagnosis and management, considering the impact on patient outcomes. Therefore, in our study, we describe a patient who presented to Hospital of the State University of Haiti with secondary anetoderma.Case presentation: Here we present a case study of a 26-year-old male who presented to the dermatology department with a protruding oval mass located at the lateral third of the posterior right arm. The patient did not experience any associated symptoms such as pain, erythema, or tenderness. The mass evolved over 30 months following the resection by cautery of a molluscum contagiosum (Figure 1). After the wound had healed, he noticed a hyperchromic macule with a wrinkled center that evolved overtime, eventually taking on the appearance of a cystic mass (Figure 2) with wrinkling and a bulged-out appearance. Routine evaluations were normal. The mass was surgically resected, and the cutaneous specimen was sent to pathology. The skin fragment measured 2 x 1.9 x 1.5 cm with a raised flaccid area, and the average resection margin was 0.7 cm. Upon sectioning, the tissue appeared firm and whitish. The adipose fragment was irregular and measured 1 x 1 x 0.4 cm. Microscopically, sections of skin including the epidermis and dermis were observed. Fragments of adipose tissue from the subcutaneous tissue were also present. The epidermis appeared regular, and the dense underlying dermis showed a few vessels with a discrete lymphoplasmacytic infiltrate surrounding them.  The clinical and pathological findings allowed us to confirm the diagnosis of secondary anetoderma. No atypical changes were observed. Since the resection, the patient has shown improvement with the incision site now displaying a mild hypertrophic scar. Regular monitoring and appropriate scar management has ensured favorable recovery.Conclusion: This case illustrates the classic presentation of secondary anetoderma. Based on the available information, it is recommended to consider the possibility of anetoderma in patients presenting with skin lesions following molluscum contagiosum or other skin disorders where the integrity of the underlying elastic tissue is compromised. Consultation with a dermatologist and additional investigations, such as skin biopsy, may be necessary to confirm the diagnosis.