The effect of polyethylene cover intervention on ocular surface disorder of intensive care unit patients: a systematic review and meta-analysis.

BACKGROUND: Polyethylene covers have been proven to be effective in protecting the eyes in patients with decreased or disappeared blink reflexes, but their advantages compared to other conventional methods are still unclear. This systematic review and meta-analysis study aimed to elucidate the impact of polyethylene covers in the prevention of ocular surface disease (OSD) in patients admitted to the intensive care unit (ICU). METHODS: We searched the Scopus, PubMed, Web of Science, and Cochrane Central Register of Controlled Trials (CENTRAL) databases to identify randomized controlled trial studies. This study followed the PRISMA guidelines and used the Cochrane Collaboration tool to assess the risk of bias. RESULTS: The findings were expressed as risk ratio (RR) with 95% confidence intervals. The incidence of OSD in the polyethylene cover group was lower than that in the eye drops group (RR = 0.27; 95% CI (0.07, 1.09), P = 0.07) and adhesive tape group (RR = 0.11, 95%CI (0.04, 0.31), P < 0:0001) but the polyethylene cover group showed no significant difference compared to the eye gel group (RR = 0.79, 95%CI (0.18, 3.51), P = 0.76) and the eye ointment group (RR = 0.85; 95% CI (0.36, 1.99), P = 0.71). CONCLUSION: This study showed that polyethylene covers, eye gels, and eye ointments had an equal effect on preventing OSD in ICU patients, and eye drops and adhesive tapes were relatively less effective. However, other intervention methods had not been compared due to the small number of articles. Hence, further studies should assess the available methods to choose the best practical method.

Pre-Configured Error Pattern Ordered Statistics Decoding for CRC-Polar Codes.

In this paper, we propose a pre-configured error pattern ordered statistics decoding (PEPOSD) algorithm and discuss its application to short cyclic redundancy check (CRC)-polar codes. Unlike the traditional OSD that changes the most reliable independent symbols, we regard the decoding process as testing the error patterns, like guessing random additive noise decoding (GRAND). Also, the pre-configurator referred from ordered reliability bits (ORB) GRAND can better control the range and testing order of EPs. An offline-online structure can accelerate the decoding process. Additionally, we also introduce two orders to optimize the search order for testing EPs. Compared with CRC-aided OSD and list decoding, PEPOSD can achieve a better trade-off between accuracy and complexity.

Effect of Autonomous Vehicles on Fatigue Life of Orthotropic Steel Decks.

The fatigue life of orthotropic steel decks (OSDs) is significantly affected by vehicle loads, and the local stress response of OSDs is sensitive to the transverse position of vehicle loads. However, the presence of autonomous vehicles is likely to change the transverse distribution of vehicles within the lane, thereby affecting vehicle-induced fatigue damage to OSDs. Therefore, it is necessary to evaluate the potential effect of autonomous vehicles on the fatigue life of OSDs so that appropriate strategies can be implemented to control the transverse positions of autonomous vehicles passing the bridge deck. To this end, fatigue damages of several typical fatigue details in a conventional OSD (COSD) and a lightweight composite OSD (LWCD) induced by vehicle loads were calculated based on finite element analysis, and their fatigue lives were evaluated based on Miner's Rule, in which different transverse distribution patterns of autonomous vehicles and their proportions in the mixed traffic flow were considered. The results indicate that fatigue lives of both the COSD and the LWCD can be negatively affected by autonomous vehicles traveling across the bridge without any constraints on the transverse distribution, especially when their proportion in the mixed traffic flow exceeds 30%. Compared to the scenario without autonomous vehicles, the fatigue damage of most fatigue details in OSDs may increase by 51% to 210% in the most unfavorable case due to the presence of autonomous vehicles. Nevertheless, it is feasible to extend the fatigue life of OSDs by optimizing the transverse distribution of autonomous vehicles. Specifically, the fatigue life of most fatigue details in the COSD could be extended by more than 86% in the most favorable case when a bimodal Gaussian distribution is adopted as the transverse distribution pattern of autonomous vehicles. Moreover, both the negative and positive effects of autonomous vehicles on the fatigue life of the COSD are more significant than those of the LWCD in most cases. The results can provide references for the maintenance of OSDs under the action of autonomous vehicles.

The Understanding and Compact Modeling of Reliability in Modern Metal-Oxide-Semiconductor Field-Effect Transistors: From Single-Mode to Mixed-Mode Mechanisms.

With the technological scaling of metal-oxide-semiconductor field-effect transistors (MOSFETs) and the scarcity of circuit design margins, the characteristics of device reliability have garnered widespread attention. Traditional single-mode reliability mechanisms and modeling are less sufficient to meet the demands of resilient circuit designs. Mixed-mode reliability mechanisms and modeling have become a focal point of future designs for reliability. This paper reviews the mechanisms and compact aging models of mixed-mode reliability. The mechanism and modeling method of mixed-mode reliability are discussed, including hot carrier degradation (HCD) with self-heating effect, mixed-mode aging of HCD and Bias Temperature Instability (BTI), off-state degradation (OSD), on-state time-dependent dielectric breakdown (TDDB), and metal electromigration (EM). The impact of alternating HCD-BTI stress conditions is also discussed. The results indicate that single-mode reliability analysis is insufficient for predicting the lifetime of advanced technology and circuits and provides guidance for future mixed-mode reliability analysis and modeling.

Metagenome comparison (MC): A new framework for detecting unique/enriched OMUs (operational metagenomic units) derived from whole-genome sequencing reads.

BACKGROUND: Current methods for comparing metagenomes, derived from whole-genome sequencing reads, include top-down metrics or parametric models such as metagenome-diversity, and bottom-up, non-parametric, model-free machine learning approaches like Naïve Bayes for k-mer-profiling. However, both types are limited in their ability to effectively and comprehensively identify and catalogue unique or enriched metagenomic genes, a critical task in comparative metagenomics. This challenge is significant and complex due to its NP-hard nature, which means computational time grows exponentially, or even faster, with the problem size, rendering it impractical for even the fastest supercomputers without heuristic approximation algorithms. METHOD: In this study, we introduce a new framework, MC (Metagenome-Comparison), designed to exhaustively detect and catalogue unique or enriched metagenomic genes (MGs) and their derivatives, including metagenome functional gene clusters (MFGC), or more generally, the operational metagenomic unit (OMU) that can be considered the counterpart of the OTU (operational taxonomic unit) from amplicon sequencing reads. The MC is essentially a heuristic search algorithm guided by pairs of new metrics (termed MG-specificity or OMU-specificity, MG-specificity diversity or OMU-specificity diversity). It is further constrained by statistical significance (P-value) implemented as a pair of statistical tests. RESULTS: We evaluated the MC using large metagenomic datasets related to obesity, diabetes, and IBD, and found that the proportions of unique and enriched metagenomic genes ranged from 0.001% to 0.08 % and 0.08%-0.82 % respectively, and less than 10 % for the MFGC. CONCLUSION: The MC provides a robust method for comparing metagenomes at various scales, from baseline MGs to various function/pathway clusters of metagenomes, collectively termed OMUs.

Machine learning modeling for ultrasonic quality attribute assessment of pharmaceutical tablets for continuous manufacturing and real-time release testing.

In in-process quality monitoring for Continuous Manufacturing (CM) and Critical Quality Attributes (CQA) assessment for Real-time Release (RTR) testing, ultrasonic characterization is a critical technology for its direct, non-invasive, rapid, and cost-effective nature. In quality evaluation with ultrasound, relating a pharmaceutical tablet's ultrasonic response to its defect state and quality parameters is essential. However, ultrasonic CQA characterization requires a robust mathematical model, which cannot be obtained with traditional first principles-based modeling approaches. Machine Learning (ML) using experimental data is emerging as a critical analytical tool for overcoming such modeling challenges. In this work, a novel Deep Neural Network-based ML-driven Non-Destructive Evaluation (ML-NDE) modeling framework is developed, and its effectiveness for extracting and predicting three CQAs, namely defect states, compression force levels, and amounts of disintegrant, is demonstrated. Using a robotic tablet handling experimental rig, each attribute's distinct waveform dataset was acquired and utilized for training, validating, and testing the respective ML models. This study details an advanced algorithmic quality assessment framework for pharmaceutical CM in which automated RTR testing is expected to be critical in developing cost-effective in-process real-time monitoring systems. The presented ML-NDE approach has demonstrated its effectiveness through evaluations with separate (unused) test datasets.

Occupational Dermatoses.

Occupational skin diseases (OSDs) are one of the major problems in working life. Among occupational diseases, 30-45% are skin diseases. Contact dermatitis accounts for the greatest part (95%) of OSDs. It adversely affects the quality of life of workers. Classification of OSD is too difficult as there are geographical variations in the occupational groups affected. However, commonly affected occupational groups are agricultural workers, healthcare workers, construction workers, metal workers, cleaners, housekeepers, food handlers, hairdressers, beauticians, and mechanics. Because of the unorganized workplace, lack of a proper notification system for occupational dermatoses, and under-reporting of cases, there is a paucity of information regarding the magnitude of the problem of OSD in India. Although in India many studies have been conducted on individual small occupational groups, data on the complete epidemiology of OSD is limited. In this article, we have tried to compile the common OSDs in various occupations.

Osmotic Demyelination Syndrome: A Rare Clinical Image.

The term "Osmotic Demyelination Syndrome" (ODS) is synonymous with central pontine myelinolysis (CPM), denoting a condition characterised by brain damage, particularly affecting the white matter tracts of the pontine region. This damage arises due to the rapid correction of metabolic imbalances, primarily cases of hyponatremia. Noteworthy triggers encompass severe burns, liver transplantations, anorexia nervosa, hyperemesis gravidarum, and hyperglycaemia, all linked to the development of CPM. Clinical manifestations encompass a spectrum of signs and symptoms, including dysphagia, dysarthria, spastic quadriparesis, pseudobulbar paralysis, ataxia, lethargy, tremors, disorientation, catatonia, and, in severe instances, locked-in syndrome and coma. A recent case involving a 45-year-old woman illustrates these complexities. Upon admission to the Medicine Intensive Care Unit, she presented with symptoms indicative of diminished responsiveness and bilateral weakness in the upper and lower limbs. Of significance, the patient had a pre-existing medical history of hyperthyroidism. Extensive diagnostic investigations were undertaken, revealing compelling evidence of profound hyponatremia through blood analyses. Furthermore, magnetic resonance imaging (MRI) was performed, unveiling conspicuous areas of abnormal hyperintensity located in the central pons, intriguingly accompanied by spared peripheral regions. These radiological findings align with the characteristic pattern associated with osmotic demyelination syndrome, illuminating the underlying pathology.

Numerical Simulation of Fatigue Cracking of Diaphragm Notch in Orthotropic Steel Deck Model.

Orthotropic steel deck (OSD) are widely used in steel bridges because of their many advantages, but the structures and stresses of OSD are complex and sensitive to fatigue. Based on the model test, the structural fatigue analysis of OSD is carried out by using the extended finite element method (XFEM) to understand and reveal the causes of fatigue detail cracks and the generation and propagation of fatigue cracks at the welding ends of diaphragms, U-ribs, and diaphragms, which are the main structural fatigue details of the deck. The results show that: the fatigue crack at the diaphragm opening is not caused by a single factor, but the horizontal relative displacement is the root-cause of the fatigue crack; the contribution of out-of-plane displacement to the fatigue crack is more significant than that of vertical displacement or in-plane stress, which often leads to the initiation and propagation of the fatigue crack; the crack-propagation direction is perpendicular to the contour of principal stress, and the crack propagates into the plate along the high-stress area in the horizontal direction, which is in accordance with the basic theory of crack propagation. The research methods can provide technical support for the design of similar structures.

Risk factors of occupational skin diseases among traditional batik manufacturing workers in Yogyakarta, Indonesia.

OBJECTIVE: Batik is one of the Indonesian traditional arts made by decorating fabric using the resist dyeing technique. Currently, batik manufacturing serves as an important source of livelihood in Indonesia. However, the production process of traditional batik involves a range of chemicals and some repetitive physical movements, making batik production inseparable from physical and chemical hazards which increase the risk of developing occupational skin diseases (OSD). This study aimed to identify the risk factors related to OSD, including occupational contact dermatitis (OCD), among traditional batik manufacturing workers in Yogyakarta, Indonesia. RESULTS: The study demonstrated that working duration (≥ 8 h daily) and type of work (wet process only) were statistically significant as risk factors for developing OSD. While for OCD, our results found that gender (male), history of atopy, and type of work (all and wet phase only) were risk factors for OCD development among traditional batik manufacturing workers.

OsDWARF10, transcriptionally repressed by OsSPL3, regulates the nutritional metabolism of polished rice.

Strigolactone (SL) plays essential roles in plant development and the metabolism of rice leaves. However, the impact of SL on the accumulation of nutritional metabolites in polished rice, as well as the transcription factors directly involved in SL synthesis, remains elusive. In this study, we performed a metabolome analysis on polished rice samples from mutants of an SL biosynthetic gene, OsDWARF10 (OsD10). Compared with those in the wild type plants, primary and secondary metabolites exhibited a series of alterations in the d10 mutants. Notably, the d10 mutants showed a substantial increase in the amino acids and vitamins content. Through a yeast one-hybridization screening assay, we identified OsSPL3 as a transcription factor that binds to the OsD10 promoter, thereby inhibiting OsD10 transcription in vivo and in vitro. Furthermore, we conducted a metabolic profiling analysis in polished rice from plants that overexpressed OsSPL3 and observed enhanced levels of amino acids and vitamins. This study identified a novel transcriptional repressor of the SL biosynthetic gene and elucidated the regulatory roles of OsSPL3 and OsD10 on the accumulation of nutritional metabolites in polished rice.

Study on Fatigue Cracking of Diaphragm's Arc Opening of OSD in Steel Bridges by Using Biaxial Stress Method.

Changes in loading position have a significant impact on the stress field of each vulnerable area of an orthotropic steel deck (OSD). The arc opening area of the diaphragm and the connecting area between the U-rib and the diaphragm under the moving load are prone to fatigue cracking. By comparing the stress responses under different methods, the hot spot stress (HSS) method is used as the main stress extraction method in fatigue performance evaluation. The control stress of fatigue cracking was analyzed by comparing the direction of the principal stress field with the crack direction in this experiment. According to the stress amplitude deviation under the biaxial stress state, a set of methods for evaluating the effects of in-plane biaxial fatigue was developed. An improved luffing fatigue assessment S-N curve was applied to analyze the fatigue life of the diaphragm's arc opening area. The results show that when the moving load is exactly above the connection of the deck and the web of the U-rib on one side, it is in the most unfavorable position in the transverse direction, and the diaphragm is mainly under the in-plane stress state. The longitudinal range of the stress influence line of the arc opening is approximately twice the diaphragm spacing. Two to three stress cycles are caused by one fatigue load. Fatigue crack control stress is the principal stress tangential to the arc opening's edge in this area. The normal direction of the principal stress in the model test is roughly consistent with the crack initiation direction. The variation in the stress amplitude deviation in this area is caused by changes in the action position of the moving load. When the moving load is at a certain distance from the involved diaphragm, it is reduced to zero, implying that the in-plane fatigue effect is the greatest in this area.

Fixed versus Unfixed Combination of Topical Latanoprost/Timolol for Glaucoma: An Observational Study Investigating the Level of Adherence and Ocular Surface Health.

PURPOSE: To investigate the effect of fixed combination versus concomitant unfixed topical glaucoma treatment on patients' adherence and ocular surface health. PATIENTS AND METHODS: This is a 6-month, prospective, parallel-group, observational study in patients with ocular hypertension (OHT), primary open-angle glaucoma (POAG), or exfoliation glaucoma (XFG). A total of 142 patients with similar baseline characteristics were enrolled in this study. Seventy-one patients received a Latanoprost 0.005%/Timolol 0.5% fixed combination in the evening, whereas seventy-one patients received the unfixed treatment with Latanoprost 0.005% in the evening and Timolol 0.5% twice daily. The primary outcome was the adherence rate at baseline, and at the 3- and 6-month follow-up visits. The secondary outcomes included the signs of ocular surface disease (OSD) and intraocular pressure (IOP). RESULTS: The adherence of patients treated with the fixed combination was higher than the unfixed treatment at the 3-month (78.0% vs. 63.0%, p < 0.001) and at the 6-month visits (73.0% vs. 58.5%, p < 0.01). The Break-up Time, Schirmer test, and Van Bijsterveld score were worse in the unfixed group at baseline and all subsequent examinations (p < 0.05 for all comparisons). There were no differences in the mean IOP between groups at baseline, 1-, and 3-month visits. IOP appears higher in the unfixed group at 6 months (16.7 vs. 15.0 mmHg, p < 0.01). CONCLUSION: The patients with ocular hypertension and primary open-angle glaucoma treated with a fixed combination are significantly more adherent and show a healthier ocular surface than those treated with an unfixed combination. The study provides significant evidence of the benefits of fixed combination treatment.

Ocular Surface Disease and Anti-Glaucoma Medications: Various features, Diagnosis, and Management Guidelines.

PURPOSE: Assessment of ocular surface in patients using anti-glaucoma medications (AGM) is rarely a priority for clinicians since glaucoma management targets intraocular pressure and preserves vision. This review summarizes the various adverse effects of topical AGM on the ocular surface and highlights the importance of ocular surface assessment in these patients. METHODS: A literature search of articles (English only) on the subject matter was conducted focusing on recent articles published in the past 5 years. RESULTS: The use of multiple anti-glaucoma medications in glaucoma patients increases patients' exposure to the drug and the preservatives present in these medications. Long-term use of these medications has deleterious effects on the conjunctiva, cornea, eyelids, and periocular tissues like trichiasis, entropion, symblepharon, forniceal shortening, punctate keratopathy, non-healing epithelial defects, and pannus. Treatment requires drug withdrawal or substitution by oral or topical non-preserved and less toxic preparations of AGMs. The ocular surface and symptoms can improve if the condition is diagnosed early and after drug withdrawal in over 90% of eyes. However, stopping or changing AGMs can often present with its own unique set of challenges in intra-ocular pressure control which may often need glaucoma surgery in close to 20% of eyes for IOP control. CONCLUSION: Topical antiglaucoma medications (with their preservatives) can induce severe ocular surface and periorbital changes. Early identification and withdrawal of the offending drug/preservative can help to reverse the changes except in eyes with extensive cicatrization.

Early detection and assessment of invisible cracks in compressed oral solid dosage forms.

In the pharmaceutical manufacturing industry, real-time in situ quality monitoring for detecting defects at an early stage is a desirable ability, especially in high-rate production, to minimize downstream quality-related issues, financial losses, and timeline risks. In this study, we focus on the early detection of crack formation in compressed oral solid dosage (OSD) forms at its onset before complete delamination and/or capping in downstream processing. The detection of internal tablet cracks related to local micro-stress/strain states, internal granularity (texture), and micro-structure failures is rather unlikely by traditional testing methods, such as the USP reference standards for friability, fracturing, or hardness testing. In addition, these tests do not permit the objective and quantitative evaluation of the influence of formulation and process parameters, which are critical for the development of high-quality drug products manufactured at high rates on a large scale. Internal cracks (potentially resulting in 'capping' and/or 'lamination') under high-strain compaction of highly visco-elastic powder materials are a common failure mode. In the current study, two approaches are introduced and utilized for non-destructively detecting and evaluating hidden cracks in pharmaceutical compacts based on (i) varying axial load-displacement measurements and (ii) ultrasonic reflection ray tracing. The reflection ray tracing technique is a non-destructive, inexpensive, rapid, and material-sparing approach, which makes it advantageous for real-time quality monitoring and defect characterization applications. The varying axial load-displacement technique is more suitable for analytical studies, especially in the design and development phases of compressed OSD products. In this study, as a model application, utilizing these two approaches, it is demonstrated how internal and external cracks can be detected, localized, characterized, and analyzed as a function of disintegrant ratio and main compression force. Various uses of these two techniques in practice, such as in Continuous Manufacturing (CM) and Real-Time Release Testing (RTRT), are also discussed.

Cataract surgery in ocular surface disease.

Cataract surgery, which is the most widely performed ophthalmic procedure, is usually done in the elderly population, who are also prone to ocular surface disorders. Ocular surface diseases are multifactorial in nature and associated with symptoms and signs such as foreign body sensation, burning, fatigue, photophobia, red or watery eyes, or reduced visual acuity. These include a spectrum of conditions that may be immune or non-immune in nature. Cataract surgery in itself is known to alter the normal ocular surface milieu and cause tear film disturbances which can last up to 6 months post-operatively. These symptoms can be exaggerated in patients with ocular surface diseases. The planning and execution of cataract surgery can also be difficult in patients with associated ocular surface diseases. In this review, we discuss the various aspects of planning and intraoperative modifications to optimize the outcomes of cataract surgery in patients with ocular surface diseases.

Machine learning framework for extracting micro-viscoelastic and micro-structural properties of compressed oral solid dosage forms.

A compressed pharmaceutical oral solid dosage (OSD) form is a strongly micro-viscoelastic material composite arranged as a network of agglomerated particles due to its constituent powders and their bonding and fractural mechanical properties. An OSD product's Critical Quality Attributes, such as disintegration, drug release (dissolution) profile, and structural strength ("hardness"), are influenced by its micro-scale properties. Ultrasonic evaluation is direct, non-destructive, rapid, and cost-effective. However, for practical process control applications, the simultaneous extraction of the micro-viscoelastic and scattering properties from a tablet's ultrasonic response requires a unique solution to a challenging inverse mathematical wave propagation problem. While the spatial progression of a pulse traveling in a composite medium with known micro-scale properties is a straightforward computational task when its dispersion relation is known, extracting such properties from the experimentally acquired waveforms is often non-trivial. In this work, a novel Machine Learning (ML)-based micro-property extraction technique directly from waveforms, based on Multi-Output Regression models and Neural Networks, is introduced and demonstrated. Synthetic waveforms with a given set of micro-properties of virtual tablets are computationally generated to train, validate, and test the developed ML models for their effectiveness in the inverse problem of recovering specified micro-scale properties. The effectiveness of these ML models is then tested and demonstrated for a set of physical OSD tablets. The micro-viscoelastic and micro-structural properties of physical tablets with known properties have been extracted through experimentally acquired waveforms to exhibit their consistency with the generated ML-based attenuation results.

[Thermal pulsation system (LipiFlow®) for treatment of meibomian gland dysfunction (MGD) from the perspective of an ophthalmologist in private practice]. / Thermo-Pulsations-System (LipiFLow®) zur Behandlung der Meibom-Drüsen-Dysfunktion (MDD) aus der Sicht eines niedergelassenen Augenfacharztes.

PURPOSE: Thermal pulsation (LipiFlow®, Johnson&Johnson, Santa Ana, CA, USA) has been advocated for meibomian gland dysfunction (MGD) treatment and was found to be useful in many studies. The aim of this study was to show the efficacy of the method and to compare it to a daily eyelid margin massage in a non-university institution. METHODS: A non-blinded, single-center interventional study comparing thermal pulsation with eyelid margin massage for the treatment of MDD. In this study 30 patients were recruited during daily office hours. Symptoms (OSDI) and ocular surface (NIK-BUT, tear ferning test, tear meniscus height, LIPCO folds, meibography, meibomian gland evaluator) were assessed before treatment. A total of 15 patients (9 women) underwent thermal pulsation (single session), while 15 patients (8 women) performed eyelid margin massage (once daily) as instructed for 3 months. RESULTS: Before the two treatment methods, there were no differences in the above parameters, gender and age were also normally distributed. After treatment, both subjective and objective criteria improved in the two groups but significantly more in the thermal pulsation arm. In particular, the limited compliance of 30% in the eyelid margin massage arm should be noted. Safety parameters, such as visual acuity and intraocular pressure (IOP) remained normal in all patients. CONCLUSION: A single session of thermal pulsation showed significantly better results in the efficacy and safety profile after 3 months compared to eyelid margin massage once daily; however, the high costs for the patients due to the single use mode of the activators must be taken in account.

Study on Static and Fatigue Behaviors of Steel-UHPFRC Composite Deck Structure.

Ultra-high-performance fiber-reinforced cementitious composite (UHPFRC) is used in orthotropic steel deck (OSD) to form a lightweight composite deck structure (LWCD), which is expected to solve the problems of fatigue cracking of traditional steel deck and pavement damage. This paper aims to study the influence of key design parameters on longitudinal bending and transverse fatigue performance, as well as the ultimate bearing capacity calculation theory of the LWCD. A local finite-element (FE) model was built to evaluate the vehicle-induced stress ranges of six typical fatigue-prone details. In total, eight negative bending tests on steel-UHPFRC composite beams and one fatigue test on a steel-UHPFRC composite plate were conducted to investigate the longitudinal bending performance and the transverse flexural fatigue behavior of the LWCD, respectively. The results show that adding a 60-mm UHPFRC layer can significantly reduce the stress amplitude of six typical fatigue details by 44.8% to 90%. The failure mode of the longitudinal bending tests is the U-rib buckle and all UHPFRC layers exhibit multiple cracking behaviors when the specimens failed. The longitudinal cracking stresses of the specimens are between 20.0 MPa to 27.3 MPa. The reinforcement ratio and cover thickness have a great influence on the cracking stress. While the ultimate bearing capacity of specimens with different parameters has little difference. The calculation method of the ultimate bearing capacity of a steel-UHPFRC composite structure is proposed. When the strain at the bottom of the u-rib is taken as 1.2 times the design yield strain, the calculated results are in good agreement with the experimental results. No fatigue failure was observed after 66.12 million fatigue cycles under the design load, highlighting the favorable fatigue resistance of the proposed LWCD.