Irregular Position Research Articles

Artificial intelligence iterative reconstruction in abdominal CT of patients with irregular arm positioning: a case-by-case evaluation.

Streak artifacts induced by irregular arm positioning have been an issue in diagnosing the abdomen. To illustrate the risk of misdiagnosis in abdominal computed tomography (CT) of patients with irregular arm positioning through a case-by-case evaluation and to test if it can be solved by the artificial intelligence iterative reconstruction (AIIR) algorithm. By reviewing 5220 cases of chest and thoracoabdominal CT, 64 patients with irregular arm positioning were enrolled, whose image data were reconstructed using AIIR in addition to routine hybrid iterative reconstruction (HIR). Lesion detection for livers, spleens, kidneys, gallbladders, and pancreas on AIIR images, performed by two radiologists, was compared with those on HIR images. Discrepancies arising from AIIR images included both cases with additional abnormalities and those with corrections made on previous detections. For cases with discrepancies, artifact scores for organs where discrepancies were found, and contrast-to-noise ratios (CNRs) of cysts with discrepancies were compared between two image sets. Additional abnormalities were detected for 15 cases: additional liver cirrhosis (n=2); additional gallbladder stone (n=1); additional cholecystitis (n=1), additional spleen nodule (n=1); additional kidney cysts (n=8); additional liver cysts (3); and additional spleen cyst (n=1). A spleen contusion was corrected for one case. All involved artifact scores were improved on AIIR images. CNRs of involved liver, kidney, and spleen cysts were improved by up to 539.7%, 538.5%, and 245.5%, respectively. Irregular arm positioning may induce a variety of misdiagnoses in abdominal CT, which is almost totally avoidable by the AIIR algorithm.

Disposal of the Dead in Recently Abandoned Settlement Areas — an Evidence of the Siege of Olbia Pontica by Zopyrion?

The present contribution focuses on extraordinary features with human remains of the 4th century BC which have been discovered to the west of the core city area of Olbia Pontica. There are numerous multiple burials within former settlement structures. The deceased were put in them without any grave goods, mainly in irregular positions and in some cases with obvious traces of external violence. Based on the archaeological finding, which is presented here for the first time exhaustively, we review the suggestion of previous research: a possible connection of these features with human remains with the siege of the city by the Macedonian general Zopyrion, which has been recorded in literature.

A fast three-dimensional flow field prediction around bluff bodies using deep learning

This study presents a deep learning approach for predicting the flow field in the incompressible turbulent three-dimensional (3D) external flow around right-rhombic prism-shaped bluff bodies. The approach involves treating the nodes of the unstructured grid in the computational fluid dynamics domain as a point cloud, which is used as an input for a neural network. The neural network is trained to map the spatial coordinates of the nodes to the corresponding velocity and pressure values in the domain. The PointNet, a reliable solution in 3D vision tasks, is selected as the neural network architecture. Implementing this architecture makes it feasible to use irregular positions of the nodes of an unstructured grid as an input without needing interpolation. A dataset, comprising 3511 cases, is generated for training and testing the network. This is achieved by changing the geometric parameters of a right rhombic prism and varying its angle to the flow stream. Then, the continuity and momentum equations for turbulent flow are solved using a solver. Given the need for a larger number of points to accurately represent a 3D flow, the architecture of PointNet is modified. This modification involves adding extra layers and adjusting the number of neurons inside the layers to overcome this challenge. Once the training is completed, given the unseen samples from the test dataset to the model, our model can predict the velocity and pressure of the flow field at a speed that exceeds our conventional solver by several orders of magnitude with a maximum relative error of 4.58%.

EFFECTIVENESS OF PHYSICAL THERAPY AND REHABILITATION IN IMPROVING MOTOR SKILLS AND MENTAL FUNCTION IN CHILDREN WITH CEREBRAL PALSY

Cerebral palsy was first described by William John Little in 1846. There are many definitions of cerebral palsy that vary from author to author. However, we can say that cerebral palsy (CP) is a chronic non-progressive brain damage, postural and body motility disorder. Apart from sensorimotor abnormalities, some cases are accompanied by mental disorders as well as disorders of cognitive functions. It can occur during pregnancy, at birth or during the postnatal period, ie. prenatal, perinatal and postnatal - equally in both sexes. There are different classifications of cerebral palsy: according to changes in muscle tone, according to topographic features and according to the severity of the clinical picture.According to changes in muscle tone, they are divided into: Spastic form, Athetoid form, Ataxic form, Hypotonic form and Mixed form. According to the topography they are classified as: Diplegia, Quadriplegia, Hemiplegia, Triplegia and Monoplegia Physical therapy program is determined based on the clinical form of the disease. When determining a rehabilitation program, the principle of an individual approach is followed. Rehabilitation includes: physical medicine, kinesitherapy, reflex exercises according to Vojta, manual massage, thermotherapy, education of parents for rehabilitation at home; orthopedic aids; special education techniques. The aim of this study is to determine the role and impact of Physical Medicine and Rehabilitation in the treatment of children with Cerebral Palsy in early childhood. The research was conducted at the University of Southeast Europe - (Stul University) at the Faculty of Health Sciences in the Department of Physical Therapy and Rehabilitation, over a period of 6 months, from the beginning of April to the end of September 2023. 61 patients with cerebral palsy are included in the research, of which 28 are male, and the remaining 33 patients are female. The patients included in the research are classified into groups according to: gender, age and clinical form of cerebral palsy. The treatment of Cerebral Palsy (CP) has a complex character and includes medical, pedagogical and social rehabilitation. The individual tasks of the rehabilitation are determined after a functional examination of the motor abilities, where the main role is played by muscle tone, normal and pathological reflex motor activity, in the period up to 1 year of age. The goal of treatment with Physical Therapy and Rehabilitation is to achieve correct and timely development of movements and correction of pathological movement stereotypes (models), which occurred as a result of brain tissue damage. As for the motor deficit, kinesitherapy plays a major role. Established modern methods for kinesitherapy are the specialized methods for neuromuscular re-education of Vojta and Bobath. The Rood and Rabat methods werw also be used to facilitate the required movements and train coordination. Physical therapy and rehabilitation combined with kinesitherapy have an exceptional positive effect in: prevention of pathological primitive reflexes;creation and automation of normal active movements;saving irregular positions of the limbs and the whole body;establishment of balance and correct pattern of movement; fight against spasticity, secondary contractures and deformities; improvement of coordination and awareness of the body in relation to the environment.

PHYSICAL THERAPY AND NEUROREHABILITATION OF PATIENTS WITH CEREBROVASCULAR STROKE

Cerebral stroke represents an acute disturbance of circulation in the brain, which occurs with local and general brain symptoms. Main etiological factors are: arteriosclerosis, increased blood pressure, arterial hypotension, heart diseases, malformations of brain blood vessels, etc. Stroke is the most common neurological disease and the leading cause of mortality in the world, right after cardiovascular and malignant diseases. Cerebrovascular stroke is a focal neurological deficit caused by intracerebral hemorrhage. It is a condition that occurs due to a change in blood circulation in the brain and a very low supply of oxygen and nutrients to parts of the brain, which results in their damage and disruption of the functions that depend on them. There are two types of cerebrovascular stroke: ischemic - thrombosis and thromboembolism (85%) and hemorrhagic – intracerebral and subarachnoid bleeding (15%). The clinical picture can develop gradually or, the patient can suddenly fall into a coma. Absence of movements of the affected limbs predominates, always opposite to the side of the impact with an outburst of the facial nerve of the central type. Hemiplegia is a loss of the voluntary movements of one half of the body, caused by damage to the opposite brain hemisphere. The musculature is atonic, tendon reflexes are reduced or lost. The aim of the research is to determine the effectiveness of physical therapy and neurorehabilitation in patients with cerebrovascular brain stroke. Treatment of stroke: In the acute stage, physical therapy is aimed at preventing complications of the loco-motor apparatus (contractures, muscle and tendon retraction, heterotropic ossifications), the respiratory system (hypostatic pneumonia) and the skin (decubitus). This is achieved through treatment with position (frequent change of the position of the body in bed), passive exercises performed according to strictly defined rules, breathing exercises, exercises for healthy limbs and great care of the skin. The trophic changes of the skin are treated with ultraviolet radiation in suberythemic doses or with D’Arsonval currents. The research was conducted at the University of Southeast Europe - (Stul University) at the Faculty of Health Sciences in the Department of Physical Therapy and Rehabilitation, over a period of 6 months, from the beginning of From the beginning of May - to the end of October 2023. The research included 27 stroke patients, of which 11 patients had a left-sided stroke, and the remaining 14 patients had a right-sided stroke. According to the gender structure, 12 patients are male and the remaining 15 patients are female. After completing the six-month treatment with physical therapy, kinesitherapy and the methods of Vojta and Carl and Bertha Bobat, the results show great progress in almost all parameters. A decrease in tonic primitive reflexes, neck and labyrinthine tonic reflexes, reduction of extensor hypertonia, improvement of motor-reflex activity, proprioceptive afference, coordination, reduction of neck tone, foot reflex, stimulation of the grip reflex and improvement of the position of the neck, limbs and body. The presented results shows significant improvement in both groups of participants. Physical therapy and rehabilitation combined with kinesitherapy have an exceptional positive effect in: prevention of pathological primitive reflexes;creation and automation of normal active movements;saving irregular positions of the limbs and the whole body;establishment of balance and correct pattern of movement; fight against spasticity, secondary contractures and deformities; improvement of coordination and awareness of the body in relation to the environment.

Flow-induced vibrations of ten tandem cylinders at low Reynolds number

Flow-induced vibrations of ten cylinders in tandem arrangement are numerically investigated by using the immersed boundary method with a low Reynolds number (Re = 100). Seven spacing ratios L/D (where L = center–center spacing between tandem cylinders and D = diameter of the cylinder) are selected from 1.1 to 4.0, and the reduced velocity Ur ranges from 2.0 to 13.5 with an increment of 0.5. Small (L/D < 2.0) and large (L/D > 2.0) spacing ranges are identified, both including two types of responses: wake-induced vibration (WIV; Ur = 2.0–9.0∼10.5 for a small L/D and Ur = 2.0–6.0∼6.5 for a large L/D) and wake-induced galloping (WIG; Ur > 9.0∼10.5 for a small L/D and Ur > 6.0∼6.5 for a large L/D). The largest vibration amplitude of each cylinder is obtained in the WIG region for the small L/D condition. The presence of downstream cylinders suppresses the vortex shedding of upstream cylinders and thus postpones the vibration of upstream cylinders at a small Ur, whereas the downstream cylinder enhances the vibration at a larger Ur due to the wake interference. For a small L/D, three flow regimes with the extended-body, reattachment, and co-shedding patterns are successively presented as Ur increases. For a large L/D, four types of flow regimes, namely, EB-2S (the extended-body with “2S” pattern), RT-2S (the reattachment with “2S” pattern), TR-2S (two-row vortex street with “2S” pattern), and CS-VS (co-shedding with variation shedding), are classified. Two new vortex shedding patterns, “2G (two counter-rotating vortices shed from each side per vibration cycle)” and “2C (two co-rotating vortices shed from each side per vibration cycle),” have been identified. In the WIV region, there is only one dominant vibration frequency for upstream cylinders (C1–C7), while a sub-harmonic frequency emerges and dominates C8–C10 when L/D is large. The fluctuating lift force spectra show a broad-band frequency distribution due to the irregular positions of the vortex generation and merging, and the dominant frequency in the WIG region decreases consecutively from C1 to C10.

Restorative approaches for managing dental anomalies

Dental anomalies, which stem from a complex interplay of genetic and environmental factors during the phases of tooth development, can have multifaceted effects on the appearance, function, and alignment of teeth within the upper and lower jaw. These anomalies are primarily categorized into four main types based on the variations in the number, size, shape, and eruption timing of teeth. They manifest in diverse forms, such as missing teeth, supernumerary teeth, malformed teeth, and irregular tooth positioning. Restorative dentistry serves as a crucial avenue to rectify these anomalies, aiming to not only enhance the functionality but also the aesthetics of affected teeth, thus bolstering the overall oral health and quality of life of patients. It is of particular significance to consider temporary restorative treatments for children with dento-facial abnormalities, not only to address physical concerns but also to mitigate potential psychological trauma and bullying. Additionally, dental anomalies can heighten the susceptibility to dental caries, periodontal diseases, and occlusal irregularities, potentially necessitating intricate and costly dental interventions over time. The research project, initiated on October 12th, 2023, stems from a comprehensive exploration of existing academic literature, encompassing databases such as PubMed, web of science, and Cochrane. Restorative treatment options in modern dentistry offer a comprehensive approach to addressing structural, functional, and aesthetic irregularities in teeth. Prosthodontic solutions, including crowns, bridges, dental implants, and veneers, restore form and function while enhancing aesthetics. Endodontic and operative procedures, such as root canal therapy and dental fillings, preserve teeth, alleviate discomfort, and prevent complications. Orthodontic treatments like braces and Invisalign correct misalignments, improving both function and aesthetics. Surgical approaches, such as orthognathic surgery and impacted tooth removal, are reserved for severe cases. Treatment choices depend on the specific anomaly, emphasizing early intervention for improved oral health and overall well-being.

Sequential syntactic knowledge supports item but not order recall in verbal working memory.

Previous studies have shown that psycholinguistic effects such as lexico-semantic knowledge effects mainly determine item recall in verbal working memory (WM). However, we may expect that syntactic knowledge, involving knowledge about word-level sequential aspects of language, should also impact serial-order aspects of recall in WM. Evidence for this assumption is scarce and inconsistent and has been conducted in language with deterministic syntactic rules. In languages such as French, word position is determined in a probabilistic manner: an adjective is placed before or after a noun, depending on its lexico-semantic properties. We exploited this specificity of the French language for examining the impact of syntactic positional knowledge on both item and serial order recall in verbal WM. We presented lists with adjective-noun pairs for immediate serial recall, the adjectives being in regular or irregular position relative to the nouns. We observed increased recall performance when adjectives occurred in regular position; this effect was observed for item recall but not order recall scores. We propose an integration of verbal WM and syntactic processing models to account for this finding by assuming that the impact of syntactic knowledge on serial-order WM recall is indirect and mediated via syntax-dependent item-retrieval processes.

Discovery of a new species of Eomysmauchenius from mid-Cretaceous Kachin amber (Araneae: Archaeidae)

Maybe extant Archaeidae are only distributed in southern hemisphere, but all of their fossils are from the northern hemisphere. Here, we report a new well-preserved fossil specimen from Kachin amber, which was identified to be a new species, Eomysmauchenius cretaceominimus, through a series of morphological characteristics comparison, including a strongly raised cephalic part, a sclerotized ring around the spinnerets and a pedipalpal-cheliceral stridulatory organ absence, cheliceral peg teeth in an irregular position, the distal lateral margin of chelicera with a small triangular projection, length and height almost equal opisthosoma. The discovery of this new species once again increases fossil record diversity of the family Archaeidae in the Cretaceous, and unique palp structure enrich our knowledge of juvenal male pedipalps.

Reducing Pain in Postoperative Femoral Fracture Patients with Spiritual-Based Relaxation Breathing

Background: Fractures occur due to trauma or physical activity with excessive pressure on the bone, including collisions, beatings, falls, irregular or tilted positions, dislocations, withdrawals, and abnormal bone weakness (pathological fractures). This study aims to analyze the effect of Breathing Relaxation spiritual-based on reducing pain scale in patients with postoperative femoral fractures. Methods: A quasi-experiment with a one-group pretest-posttest design technique constitutes the study design. Population All postoperative femur fracture patients at Mitra Medika Hospital Bondowosoof 30 people. The sample size is 24 respondents. The sampling technique is Consecutive Sampling. Intervention is given effect Breathing Relaxation spiritual based. The analysis used the Wilcoxon Signed Ranks Test with a significant value of ‎α <0.05. Results: The pre and post-pain scale test using the Wilcoxon Signed Ranks Test obtained a p-value of 0.000, which means the effect of Breathing Relaxation Spiritual-Based Changes in Pain Scale in Postoperative Femur Fracture Patients. Conclusion: Breathing Relaxations are spiritually based and effective in reducing Pain Scale in Postoperative Femur Fracture Patients. This method is very good when applied in hospitals to develop nursing knowledge.

Investigation of some Persistent Organic Pollutants in Soil around selected Auto-Mechanic Workshops in Osogbo

Public health is at risk due to pollution from activity in car workshops as the quality of the soil near auto businesses has received less attention. This study assessed soil quality in auto shops in Osogbo, Osun State, South-West Nigeria. Two car workshops were chosen and soil samples were collected from two different points each using a random survey method (i.e., picked two sites randomly). The soil samples were collected at irregular positions within the vicinity of the two auto repair shops at 0–20 cm and 20–40 cm depth. The samples were taken for examination of polychlorinated biphenyls (PCBs) and (Polycyclic aromatic hydrocarbons) PAHs. The samples were analysed in the lab according to regular technique, and 16 US EPA priority PAHs and PCBs were then examined using a gas chromatography-mass spectrometer (GC-MS). The potential toxicities were evaluated and values obtained were compared with United States permissible limits for soil quality. The total PAH values in the soil were between 0.17 μg/m3 to 4.97 μg/m3, with the soil samples near the truck maintenance shops having the greatest PAH concentrations between 0 – 20 cm below the surface. The most prevalent PAH species in soil samples was Fluoranthene, followed by Fluorene and Indeno [1,2,3-cd] pyrene. Also, PCBs were found in the location with 1,1′-Biphenyl, 2,2′,3,4,4′,5′-hexachloro- (PCB 138) having the highest concentration value followed by 1,1′-Biphenyl, 3,3′,4,4′-tetrachloro- (PCB 77). The findings of this study showed that both of these pollutants investigated are very prevalent in these areas. There is a grave environmental concern because the discovered levels of PCBs and PAHs exceed the permissible limits set by the USEPA standards.

Instance recognition of street trees from urban point clouds using a three-stage neural network

As one of the most important components of urban space, the geometric and semantic properties of road trees are crucial for the assessment and upgrade of urban environments. Accurate positioning of individual trees is a critical procedure for this task; however, traditional manual methods require considerable personnel and material resources. By contrast, individual tree segmentation based on a vehicle-mounted mobile laser scanner (MLS) operating along urban streets can provide a feasible and efficient solution. Recent studies (especially those based on deep learning) on point cloud semantic segmentation and forest tree detection have achieved significant progress; however, they rarely perform instance recognition of urban trees. In addition, extracting individual urban trees from point clouds to balance accuracy and efficiency remains challenging. To this end, we propose an effective pipeline to segment individual trees from urban MLS data. The proposed approach encompasses two main steps: tree-point extraction and individual-tree segmentation. First, a patch-guided semi-supervised semantic segmentation network was designed to separate non-tree points from entire urban scene. The extracted tree points are further divided into instance-level trees using a three-stage segmentation network for the individual tree segmentation. Specifically, a tree-centroid prediction module is proposed to ensure the accurate localization of street trees, even with irregular positions, in complex urban environments. Subsequently, a special confidence-aware attention mechanism is developed to resolve challenging ambiguities from complementary perspectives. Finally, a dynamic shifting-based clustering algorithm is introduced to speed up the segmentation of each tree guided by the predicted centroid and directly transfer the IDs back to the point clouds. The proposed method is evaluated and validated on MLS point clouds collected in two urban areas, robustly producing accurate instance-level roadside trees. The instance-level segmentation results in average precision and recall of (96.62%, 96.17%) and (95.62%, 94.58%), respectively, on these two MLS point cloud datasets. Point-level segmentation also exhibits mean precision, recall, and weighted coverage exceeding 90%. We also verify that the proposed method could achieve a promising result on an airborne laser scanning point cloud dataset without retraining, thereby demonstrating a good generalization ability. To further verify the quality of the segmented tree instances, a reconstruction method is adopted to employ these independent street trees in trunk point cloud modeling. Our contribution may assist in developing intelligent urban green space planning and management.

The Biomechanical Burden of Orthopaedic Procedures and Musculoskeletal Injuries Sustained by Surgeons: A Systematic Review

Category: Other; Trauma Introduction/Purpose: Orthopaedic surgeons are at high risk for experiencing work-related musculoskeletal injuries and chronic pain. This is largely due to daily exposure to repetitive large magnitude forces, altered posture from the use of leaded vests, and prolonged standing often in irregular body positions. We sought to synthesize available evidence regarding 1) the biomechanics of orthopaedic surgery and 2) musculoskeletal injuries sustained by orthopaedic surgeons with subsequent treatment and consequences. Methods: To conduct this systematic review, we queried four databases (PubMed, Embase, MEDLINE, and Web of Science) for original research studies presenting on the biomechanics of orthopaedic surgery or musculoskeletal injuries sustained by orthopaedic surgeons. Studies were excluded if they were not original research (i.e., reviews) or reported on injuries to patients, non-musculoskeletal injuries, or non-orthopaedic subspecialties. The literature search yielded 3,202 publications, 36 of which were included in the final analysis. Results: Eight studies reported on the biomechanics of orthopaedic surgery. Surgeons spent an average 41.6% of time slouched during surgeries. Head and whole spine angles were closest to natural standing position when using a microscope for visualization and with higher surgical field heights. Use of lead aprons resulted in a shifted weight distribution on the forefoot, gain in thoracic kyphosis, and increase in lateral deviation from postural loading. Twenty-eight studies reported on musculoskeletal conditions experienced by orthopaedic surgeons. The overall prevalence of musculoskeletal symptoms or injury involving any body region ranged from 44-97%. Prevalence by body region in decreasing order were as follows: lower back (15.2-89.5%), hip/thigh (4.4- 86.6%), neck (2.4-74%), hand/wrist (10.5-54%), shoulder (7.1-48.5%), elbow (3.1-28.3%), knee/lower leg (7.9-27.4%), and foot/ankle (7-25.7%). Of surgeons with any reported musculoskeletal symptom or injury, 27-65.7% required nonoperative treatment, 3.2- 34.3% required surgery, and 33.3-59.3% indicated that their operative performance was affected. Conclusion: The orthopaedic surgeon population experiences a high prevalence of musculoskeletal symptoms and injuries, likely secondary to the biomechanical burdens of tasks required of them during strenuous operations. Ergonomic interventions must be taken within the operating room to reduce this prevalence, increase the physical well-being of orthopaedic surgeons, and reduce the healthcare costs associated with time off work and early retirement as a result of musculoskeletal conditions.

Synthesis and Characterization of Nano Chitosan from Vannamei Shrimp Shell (<I>Litopenaeus vannamei</I>)

Highlight Research New method to synthesis nano chitosan from Vannamei shrimp with high Deacetylation Degree Nano chitosan from Vannamei shrimp can adsorb heavy metal Fe up to 81.35% Shrimp shells as an alternative adsorbents for Fe Abstract Shrimp cultivation produces shrimp wastes in several forms, including shells from the molting process. Shrimp shell waste can be used as a source of nano chitosan. Many researches have used nano chitosan for various applications, one of which is to adsorb heavy metal pollution. This present study aimed to extract chitosan from shrimp shells and investigate the ability of nano chitosan to adsorb Fe metal. The research began by isolating chitin and chitosan from shrimp shells through deproteinization, demineralization, and deacetylation. The obtained chitosan was afterward characterized using Fourier Transform Infrared (FTIR). Furthermore, the glassy ionic method was used to synthesize nano chitosan. Nano chitosan was characterized using a scanning electron microscope (SEM), and the Fe metal adsorption ability was measured using Atomic Absorption Spectroscopy (AAS). The FTIR results showed that the synthesized shrimp shells had successfully formed chitin compounds with the appearance of the C-O-C functional group, while the chitosan compounds with the appearance of O-H and N-H groups. The SEM characterization showed that nano chitosan with a size of 173.71 nm was successfully formed with identical morphology in the form of a flat (spherical), elongated, and irregular position. The nano chitosan was able to absorb Fe solution up to 81.35%. Therefore, nano chitosan from the shrimp shells is suitable as an adsorbent of heavy metal Fe.

Statistical method of pore size distribution of disordered mesoporous materials based on electron microscope imaging

Mesoporous materials can efficiently treat harmful substances in wastewater by virtue of the pore structure with a high specific surface area. Currently, the characterization of the pore structure of mesoporous materials is generally obtained by physical experiments. However, due to the limitation of experimental conditions, repeated measurement experiments will waste a lot of time and may damage the pore structure. In addition, for disordered mesoporous materials with a large pore size span and irregular pore positions, it is difficult to accurately analyze the pore size distribution law with the human eye observation through electron microscope images. Aiming at this problem, this paper proposes a method to rapidly calculate the pore size distribution of materials based on SEM imaging. Firstly, the image is preprocessed. Secondly, the pore distribution information is obtained by the filling ball method, and finally the probability density curve of the pore size distribution is obtained according to the statistical method. The results show that the pore size probability density curve obtained by this method is very similar to the actual pore size distribution curve and the error is less than 11%. The proposed method provides a new direction for the analysis of disordered mesoporous materials.

Emerald’s Jardin, Ordinary Creature Within Crystal Jar: Formal Analysis of Mezzetin by Jean-Antoine Watteau

In the early 18th century, artists in Paris leaned towards the topic of entertainment and public theatre. Jean-Antoine Watteau created Mezzetin; arranged a mysterious space to elaborate and dramatize Mezzetin's life through figural scale, meticulous selection of colors, and painterly details. The artist depicted the melancholic image within the paradigms of the Rococo style. The current study investigated several elements of the painting that delivers this atmosphere. This study will focus on the grey tone of green background color, mysterious woman's identity, irregular protagonist position within ordered composition, and contradictory character setting, which are considered elements that molded Mezzetin as a behind-the-scene of entertaining character.

Fatigue behaviors of aluminum alloy butt joints with backing plates: Experimental testing and traction stress modeling

In this study, the fatigue behaviors and associated failure modes for a series of aluminum alloy butt joints with backing plates are investigated by conducting fatigue testing and Ultrasonic Phased Array Testing (UPAT). When the fatigue properties of butt joints are evaluated according to International Institute of Welding (IIW) and BS7608, the S-N curves of the corresponding welded joints cannot be determined due to irregular positioning of tack welds prepared, following typical manufacturing practices. To gain insights on how the fatigue test data can be correlated with different backing plate positions, traction structural stress method is used for determining both critical fatigue-critical location and corresponding stress value in the test specimens. It is found that the traction stress method is effective in identifying fatigue-critical location caused by backing plate welds and incorporating angular joint misalignment effects.

TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos

The detection of tiny objects in microscopic videos is a problematic point, especially in large-scale experiments. For tiny objects (such as sperms) in microscopic videos, current detection methods face challenges in fuzzy, irregular, and precise positioning of objects. In contrast, we present a convolutional neural network for tiny object detection (TOD-CNN) with an underlying data set of high-quality sperm microscopic videos (111 videos, > 278,000 annotated objects), and a graphical user interface (GUI) is designed to employ and test the proposed model effectively. TOD-CNN is highly accurate, achieving 85.60% AP50 in the task of real-time sperm detection in microscopic videos. To demonstrate the importance of sperm detection technology in sperm quality analysis, we carry out relevant sperm quality evaluation metrics and compare them with the diagnosis results from medical doctors.

Evaluation Of Speedboat Patterns Mooring At UPTD LLASDP Wharf, West Tanjung Jabung Regency, Jambi Province

UPTD LLASDP Port is a port located on Jl. Asia, Tungkal Ilir, West Tanjung Jabung Regency, Jambi which serves 3 route routes, namely Inter-Province, Inter-Regency, and Inter-Regency. In its application, the mooring pattern greatly affects the up and down activities of passengers at the pier. However, according to the existing conditions, the UPTD LLASDP Pier of West Tanjung Jabung Regency has not implemented a mooring pattern system so that ships that will moor at the Pier are still mooring carelessly without regard to the mooring pattern. This has an impact This is bad for passengers and the goods they carry, passengers who want to board the ship often find it difficult to board because of the irregular position of the ship's berth causing passengers and goods to fall into the river when loading and unloading goods occurs at the dock. The aims of this study are as follows: 1) To determine the existing conditions at the UPTD LLASDP Pier, especially when the ship will moor at the Pier. 2) To find out how the arrangement of the mooring pattern at the pier to suit the situation and conditions that are feasible to support the smooth activity of the pier. 3) To find out whether theactivities operationalas well as the condition of the pier in the passengers' boarding and disembarkation activities in the current condition are balanced with the services of port officers. The research methodology used is direct observation in the field (field research), interviews (Interview), literature/documentation (literature) and institutional. Then to analyze this, it is guided by Soedjono Kramadibaratha's Theory in the Port Planning book. The analysis used is the analysis of the mooring capacity of the ship according to the mooring pattern system (elongated, perpendicular and angled). The results of this study are 1) The capacity of the speedboat that can be moored at the UPTD LLASDP Wharf with a mooring pattern lengthwise to the pier, which is as many as 19 ships. 3) Capacity speedboat to mooring at Pier UPTD LLASDP with mooring system angled toward the dock as many as five ships (for an angle of 30°),7 Ships (to an angle of 45°),9 Ships (to an angle of 60°),19 ships (for angle 75°).This states that it is not necessary to increase the length of the pier because the mooring capacity has sufficed the maximum capacity of ships mooring simultaneously according to the ship's arrival and departure schedules, but there must be arrangements for the mooring pattern of ships and the need for placement of officers to regulate the mooring system at the pier.

A novel hybrid clonal selection algorithm for the corridor allocation problem with irregular material handling positions

As an essential influencing factor in the facility layout, the reasonable setting of material handling positions plays a vital role in improving operational efficiency and reducing material handling costs. In this paper, a corridor allocation problem (CAP) that allows irregular logistics material handling positions (IMHPCAP) is proposed. Compared with previous CAP studies, IMHPCAP allows facilities to set irregular material handling positions according to their characteristics to increase material handling flexibility. However, the IMHPCAP is more challenging than the traditional CAP finding the best layout solution. In order to solve this problem, a mixed-integer programming model of IMHPCAP is established. A clonal selection algorithm with social engineering optimiser based on a two-stage solution was proposed to obtain the best layout for large-scale problems. In the first stage of this algorithm, the rows in which facilities are placed, and the arrangement sequence of the facilities are established. In the second stage, the precise coordinates of the MHPs are obtained using a mathematical programming method. Finally, some benchmark instances of the CAP and IMHPCAP were solved to verify the performance of the algorithm. Furthermore, an actual case of a baby plastic product processing plant was considered to validate the IMHPCAP. The results showed that the hybrid clone algorithm performed well in solving the CAP and IMHPCAP, thereby exhibiting practical significance.