Recovery Condition Research Articles

Comparing time-series transcriptomes between chilling-resistant and -susceptible rice reveals potential transcription factors responding to chilling stress.

Low temperature is one of the most important environmental factors that inhibits rice growth and grain yield. Transcription factors (TFs) play crucial roles in chilling acclimation by regulating gene expression. However, transcriptional dynamics and key regulators responding to low temperature remain largely unclear in rice. In this study, a transcriptome-based comparative analysis was performed to explore genome-wide gene expression profiles between a chilling-resistant cultivar DC90 and a chilling-susceptible cultivar 9311 at a series of time points under low temperature treatment and recovery condition. A total of 3,590 differentially expressed genes (DEGs) between two cultivars were determined and divided into 12 co-expression modules. Meanwhile, several biological processes participating in the chilling response such as abscisic acid (ABA) responses, water deprivation, protein metabolic processes, and transcription regulator activities were revealed. Through weighted gene co-expression network analysis (WGCNA), 15 hub TFs involved in chilling conditions were identified. Further, we used the gene regulatory network (GRN) to evaluate the top 50 TFs, which might have potential roles responding to chilling stress. Finally, five TFs, including a C-repeat binding factor (OsCBF3), a zinc finger-homeodomain protein (OsZHD8), a tandem zinc finger protein (OsTZF1), carbon starved anther (CSA), and indeterminate gametophyte1 (OsIG1) were identified as crucial candidates responsible for chilling resistance in rice. This study deepens our understanding in the gene regulation networks of chilling stress in rice and offers potential gene resources for breeding climate-resilient crops.

Spontaneous recovery in random hypergraphs.

In many real-world phenomena, such as the reconstruction of disaster areas after an earthquake or the stock market's recovery after an economic crisis, damaged networks are spontaneously active after receiving assistance. To reveal how the recovery process, the research of dynamic network recovery has become a hot topic in the field of network science. Previous studies on network recovery have been limited to simple networks with pairwise interactions. However, real-world systems are usually networks with higher-order interactions that are composed of multiple units. To better understand the recovery phenomenon on complex networks in the real world, we propose a novel spontaneous recovery model applied to hypergraphs. The model considers two types of recovery, internal recovery and fast recovery, where inactive nodes in the network can either recover internally with independent probabilities or receive sufficient resources from the hyperedge for fast recovery. We find that the number of active nodes in the system shows a phase change from continuous to discontinuous as the fast recovery condition is relaxed. Moreover, under the influence of higher-order interactions, increasing both average hyperedge cardinality and network heterogeneity contribute to increasing the network resilience. These findings help us understand the recovery mechanisms of complex networks and provide essential insights into designing highly resilient systems.

Manipulation of strength and ductility of AA5182-O through cyclic bending under tension and annealing processing

Aluminum alloy (AA) 5182-O sheets are processed by continuous bending under tension (CBT) followed by heat treatment to investigate microstructural changes for optimizing strength and ductility of the alloy. Bending depth and pull speed parameters of the CBT process are optimized to enhance the achievable strain beyond a conventional uniaxial tension, by inducing significant microstructural changes in the sheets. CBT processed samples are subsequently heat treated at various time-temperature regimes to determine the best recovery condition. The combination of CBT and heat treatment effect on the mechanical properties is examined by the subsequent uniaxial tension experiment. Measured microstructural changes in terms of grain structure and texture by electron backscattered diffraction (EBSD) show that it is possible to change a 〈001〉 cube texture typically present in rolled and annealed AA sheets into a 〈111〉 fiber texture by combining CBT and annealing processing. Moreover, measured mechanical responses reveal that a particular combination of CBT and heat treatment at 270 °C for 2 h can increase strength by over 75 % at the expense of 37 % reduction of uniform ductility. Interestingly, only a complete recrystallization after CBT restores the r-value of as-received material, while the intermediate heat treatment conditions lower the r-value.

The Effect of Massage on Pain Reduction in Osteoarthritis Knee: Literature Review

One way to reduce OA complaints is by using massage methods. Massage is a condition of physical recovery from certain disorders or diseases through muscle and physical straightening techniques so that this method has good credibility. Massage is the art of hand movement that aims to get pleasure and maintain health. This mechanical hand movement will create a sense of calm and comfort for the recipient. This study aims to determine the effect of massage on pain relief in knee osteoarthritis. This study uses a critical review approach, carried out using a PICO search in several databases such as Google Scholar, PubMed, and Scimago. From that search, 5 journals were obtained which showed that the frequency was 2 times a week, with a duration of 20 minutes, carried out 2 times a week for 8 weeks. With p<0.001 showed significant results in relieving pain in osteoarthritis patients.

Metabolic patterns of sweat-extracellular vesicles during exercise and recovery states using clinical grade patches.

Background: Metabolite-based sensors are attractive and highly valued for monitoring physiological parameters during rest and/or during physical activities. Owing to their molecular composition consisting of nucleic acids, proteins, and metabolites, extracellular vesicles (EVs) have become acknowledged as a novel tool for disease diagnosis. However, the evidence for sweat related EVs delivering information of physical and recovery states remains to be addressed. Methods: Taking advantage of our recently published methodology allowing the enrichment and isolation of sweat EVs from clinical patches, we investigated the metabolic load of sweat EVs in healthy participants exposed to exercise test or recovery condition. -Ten healthy volunteers (-three females and -seven males) were recruited to participate in this study. During exercise test and recovery condition, clinical patches were attached to participants' skin, on their back. Following exercise test or recovery condition, the patches were carefully removed and proceed for sweat EVs isolation. To explore the metabolic composition of sweat EVs, a targeted global metabolomics profiling of 41 metabolites was performed. Results: Our results identified seventeen metabolites in sweat EVs. These are associated with amino acids, glutamate, glutathione, fatty acids, creatine, and glycolysis pathways. Furthermore, when comparing the metabolites' levels in sweat EVs isolated during exercise to the metabolite levels in sweat EVs collected after recovery, our findings revealed a distinct metabolic profiling of sweat EVs. Furthermore, the level of these metabolites, mainly myristate, may reflect an inverse correlation with blood glucose, heart rate, and respiratory rate levels. Conclusion: Our data demonstrated that sweat EVs can be purified using routinely used clinical patches during physical activity, setting the foundations for larger-scale clinical cohort work. Furthermore, the metabolites identified in sweat EVs also offer a realistic means to identify relevant sport performance biomarkers. This study thus provides proof-of-concept towards a novel methodology that will focus on the use of sweat EVs and their metabolic composition as a non-invasive approach for developing the next-generation of sport wearable sensors.

Analyzing vegetation recovery and erosion status after a large Landslide at Mt. Hakusan, Central Japan

A large-scale landslide occurred in 2015 in Senninvalley, Mt. Hakusan, Central Japan, releasing large amounts of sediment. To mitigate continuous erosion in the landslide area and its downstream adverse effects, reforestation activities were implemented from 2016 to 2021. This study assessed the status of vegetation recovery and erosion condition after 7 years using aerial photographs, light detection and ranging data, satellite imagery, and published documents. The results show that the greenery (herbaceous and woody plants) is mainly recovering on the upper slope of the landslide area where reforestation works were implemented, while the lower slope, where no reforestation activities have been applied, still lacks greenery. The lower slope suffered nearly 1–4 m of continued erosion from 2016 to 2022, while upper slope has no significant erosion. Within this 7-year period, the vegetation coverage on the upper slope of the landslide, where artificial restoration was applied, increased significantly from 10 to 43%.

31 Importance of Good Sow Development: Focusing on Nutrition and Feeding from Gilt Development to Subsequent Parities

Abstract Continuous genetic progress leads to significant improvements in growth and efficiency of PIC Camborough gilts. As an example, gilt weight gain per day of age has increased dramatically in the past decade. This implies that gilts are heavier at a similar breeding age, which increases the likelihood of breeding overweight gilts. Additionally, sows have less backfat depth and are leaner compared with their predecessors. It has been reported that gilt retention rate until parity 3 declines when breeding gilts with over 160 kg of body weight. Hence, controlling growth rate of developing gilts could be helpful to achieve the target breeding weight (135 to 160kg). A recent study reported that reducing dietary nutrient density (ME and SID Lys) from 57 kg until breeding significantly reduced breeding weight by 4 kg (P < 0.05). The slower growing gilts had reduced stillborn (P < 0.01), had 0.79 more pigs born alive (P = 0.10), and weaned a total of 238 more pigs over three reproductive cycles. However, with the genetic trend for faster growth rate, it is inevitable to breed overweight gilts in production. Energy requirement for maintenance (MEm) of gestating sows is a function of body weight of the sow. Thus, heavier gilts at breeding need more energy for maintenance. An assessment using data from 2,475 gilts collected in commercial sow farms evaluated how different feeding levels satisfy the MEm of a gilt herd bred at 154 kg. The results showed that feeding 5.90 Mcal of ME/day or 4.40 Mcal of NE/day results in only a few gilts fed below maintenance from 90 to 112 days of gestation. However, if a decreased feeding level (5.17 Mcal of ME/day or 3.85 Mcal of NE/day) was adopted, which has been seen in production with a purpose of reducing body condition, almost all the gilts would be fed under maintenance from 90 to 112 days of gestation. Gilts are still growing and developing during their first gestation and inadequate feeding level may jeopardize their growth and development, which could lead to poor lifetime productivity. Heavier gilts become heavier sows in the subsequent parities; thus, the sows also require more energy for maintenance during subsequent gestations. Therefore, PIC recommends feeding gilts, ideal and fat sows with 5.90 Mcal of ME/day or 4.40 Mcal of NE/day throughout gestation. Feeding this level throughout gestation will result in an estimation of no overall caliper change. Whereas for thin sows that need to recovery condition, PIC recommends feeding 8.60 Mcal of ME/day or 6.50 Mcal of NE/day (Figure 1). Feeding this level throughout gestation will result in an estimated overall gain of 3 caliper units. In summary, the increased potential for growth and efficiency of PIC gilts warrants the adoption of multiple strategies to improve longevity and lifetime productivity.

Research on fuzzy impedance control of upper-limb rehabilitation robot based on membership functions online optimization learning strategy

PurposeTo improve the position tracking efficiency of the upper-limb rehabilitation robot for stroke hemiplegia patients, the optimization Learning rate of the membership function based on the fuzzy impedance controller of the rehabilitation robot is propose.Design/methodology/approachFirst, the impaired limb’s damping and stiffness parameters for evaluating its physical recovery condition are online estimated by using weighted least squares method based on recursive algorithm. Second, the fuzzy impedance control with the rule has been designed with the optimal impedance parameters. Finally, the membership function learning rate online optimization strategy based on Takagi-Sugeno (TS) fuzzy impedance model was proposed to improve the position tracking speed of fuzzy impedance control.FindingsThis method provides a solution for improving the membership function learning rate of the fuzzy impedance controller of the upper limb rehabilitation robot. Compared with traditional TS fuzzy impedance controller in position control, the improved TS fuzzy impedance controller has reduced the overshoot stability time by 0.025 s, and the position error caused by simulating the thrust interference of the impaired limb has been reduced by 8.4%. This fact is verified by simulation and test.Originality/valueThe TS fuzzy impedance controller based on membership function online optimization learning strategy can effectively optimize control parameters and improve the position tracking speed of upper limb rehabilitation robots. This controller improves the auxiliary rehabilitation efficiency of the upper limb rehabilitation robot and ensures the stability of auxiliary rehabilitation training.

Diagnostics of gas-dynamic connection between gas caps and their influence on the product composition of the North Caspian production wells as per tracer tests

Diagnostics of gas-dynamic connection between gas caps and their influence on the product composition of the North Caspian production wells as per tracer tests

Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications

Since the nuclear norm may lead to suboptimal solutions to rank minimization problems, many nonconvex surrogates have been proposed to provide better rank function approximations. In this paper, we use the ratio of the nuclear norm and the Frobenius norm, denoted as N/F, as a new nonconvex surrogate of the rank function. The N/F can provide a close approximation for the matrix rank. In particular, the N/F is the same as the rank for rank 1 matrices. Furthermore, compared to other popular nonconvex approximations, the N/F model has no extra parameters to tune. Theoretically, we establish the exact recovery condition and the stable recovery condition for the N/F minimization problem with or without noise, respectively. Computationally, we use the alternating direction method of multipliers with a specific variable-splitting scheme to solve the N/F minimization problem. What is more, we incorporate a box constraint in the N/F model, and propose the ADMM-box to solve it. The convergence analysis of ADMM and ADMM-box are also given. Extensive experiments on both synthetic data and color images verify the effectiveness of our proposed methods.

Determination the Number and Schedule of Security Officers for Pandemic Period and Hybrid Learning at University

The recovery condition after the Covid-19 pandemic in various sectors from the economic sector, education, and even tourism requires many adjustments in various factors. A university is an educational institution that applies the concept of online learning in pandemic conditions. Restrictions on activities carried out on campus have an influence on the workload of security officers. In this study, the number of security officers was determined during the pandemic and hybrid learning so as to minimize the costs that must be incurred by the university. Determining the number of security officers needed uses a workload analysis based on interviews and considers several factors such as the target level of environmental security, the wide coverage of the security area, and the workload of the security officers themselves. After knowing the number of security officers needed, then scheduling based on work shifts uses the Tibrewala, Philippe, and Brown algorithm so that the workload is evenly distributed. The results obtained show that during the pandemic 35 security officers are needed with an estimated allocation of IDR 156,103,200 per month and get a savings of IDR 84,287,500,- per month (35.1%). For hybrid learning, it takes 51 personnel with an estimated allocation of IDR 224,303,200,- per month. This cost increases by IDR 68.200.000,- per month (43.7%) of pandemic conditions. This research is expected to provide consideration for universities as one of the steps to make savings and be useful during the pandemic and hybrid learning.

A conceptual flotation circuit for fine coal processing based on combination of the tree analysis and kinetic data

In this research study, we focus on the tree test results as well as the first-order kinetic model to evaluate flotation test data to propose a conceptual design of a flotation circuit for a specific coal sample. Results from the tree test showed it was possible to achieve a product with ash content less than 10% with 8% as combustible recovery and indicated for this coal sample, to obtain low ash – low recovery condition. Kinetic test results showed some of the streams had the same constant, so it could combine streams with similar rates according to configuration aspects. The proposed circuit includes stages (1- rougher, 2- rougher -scavenger, 3- cleaner, 4- cleaner -scavenger, and 5-recleaner) and recleaner concentrate indicated as the final product and rougher -scavenger tailings and cleaner -scavenger tailings also indicated as a final tailing. It is worth noting the proposed circuit is a conceptual design, so the validation of data on a larger scale for the obtainment of the optimized circuit is crucial.

Physiotherapy treatments for the patient with Bankart lesion repair: a case report study

Background: Bankart lesion is torn in the anterior membrane covering the shoulder joint (labrum) due to continuous dislocation of the shoulder joint forward. Bankart lesions can occur due to sports activities that use the front of the shoulder, such as javelin throwing. It is not uncommon for injuries to javelin-throwing athletes to require physiotherapy treatment so they can return to playing javelin-throwing.
 Aim: This study aims to determine the effectiveness of the training program such as ultrasound therapy and transcutaneous electrical nerve stimulation (TENS), active assisted range of motion (ROM) exercises, active assisted ROM exercises against gravity, strengthening exercises, wall climbing, and open cage exercises. to tourists who are javelin throwing athletes who experience Bankart lesions.
 Case Report: In this case, a 42-year-old man from France came to the physiotherapy clinic complaining of pain, stiffness, and limited movement of the right shoulder joint. The patient underwent surgery for Bankart shoulder repair on his right shoulder on October 16th, 2022, due to repeated dislocations three times during javelin throws. The patient has limited movement and pain in the right shoulder. In addition, the right hand also does not swing when walking. On static inspection, the chest, shoulder, and right arm are smaller (atrophied) and positioned lower than the left. There is an incision in the anterior deltoid area (post-Bankart repair shoulder). Intervention modalities included ultrasound therapy applications and transcutaneous electrical nerve stimulation (TENS). Exercise therapy includes active assisted ROM exercises, active assisted ROM exercises against gravity, strengthening exercises, wall climbing, and open cage exercises.
 Result: After interventions, the patient’s recovery condition improved. An exercise program designed and implemented on patients for two weeks has slowly raised the patient's self-confidence and increased the patient's ability to perform physical activities.
 Conclusion: The physiotherapy intervention program for a Bankart lesion patient showed an improvement in the patient’s condition, with an increase in ROM, an increase in muscle strength, and a decrease in perceived pain.

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines

Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past few years, but with the decentralization and globalization of efforts and knowledge, a successful vaccine-based control strategy was efficiently designed and applied worldwide. On the other hand, excused confusion and hesitation have widely impacted public health. This paper aims to reduce COVID-19 vaccine hesitancy taking into consideration the patient’s medical history. The dataset used in this study is the Vaccine Adverse Event Reporting System (VAERS) dataset which was created as a corporation between the Food and Drug Administration (FDA) and Centers for Disease Control and Prevention (CDC) to gather reported side effects that may be caused by PFIEZER, JANSSEN, and MODERNA vaccines. In this paper, a Deep Learning (DL) model has been developed to identify the relationship between a certain type of COVID-19 vaccine (i.e. PFIEZER, JANSSEN, and MODERNA) and the adverse reactions that may occur in vaccinated patients. The adverse reactions under study are the recovery condition, possibility to be hospitalized, and death status. In the first phase of the proposed model, the dataset has been pre-proceesed, while in the second phase, the Pigeon swarm optimization algorithm is used to optimally select the most promising features that affect the performance of the proposed model. The patient’s status after vaccination dataset is grouped into three target classes (Death, Hospitalized, and Recovered). In the third phase, Recurrent Neural Network (RNN) is implemented for both each vaccine type and each target class. The results show that the proposed model gives the highest accuracy scores which are 96.031% for the Death target class in the case of PFIEZER vaccination. While in JANSSEN vaccination, the Hospitalized target class has shown the highest performance with an accuracy of 94.7%. Finally, the model has the best performance for the Recovered target class in MODERNA vaccination with an accuracy of 97.794%. Based on the accuracy and the Wilcoxon Signed Rank test, we can conclude that the proposed model is promising for identifying the relationship between the side effects of COVID-19 vaccines and the patient’s status after vaccination. The study displayed that certain side effects were increased in patients according to the type of COVID-19 vaccines. Side effects related to CNS and hemopoietic systems demonstrated high values in all studied COVID-19 vaccines. In the frame of precision medicine, these findings can support the medical staff to select the best COVID-19 vaccine based on the medical history of the patient.

Midline Lumbar Fusion Versus Posterior Lumbar Interbody Fusion Involving L5-S1 For Degenerative Lumbar Diseases: A Comparative Study.

A retrospective cohort study to evaluate the efficacy and safety of midline lumbar fusion (MIDLF) for lumbosacral fusion compared to posterior lumbar interbody fusion (PLIF). Patients who had undergone posterior lumbosacral fusion surgery were divided into a MIDLF group (n=37) and a PLIF group (n=42). The follow-up time was at least 12months. The operation data, recovery condition, complications, clinical outcomes, and status of implants and fusion were compared between the 2 groups. The MIDLF group experienced significantly less blood loss, lower postoperative creatine kinase levels and total drainage volume, earlier time to ambulation, and less hospital stay times after surgery compared to the PLIF group (P<0.05). The mean postoperative back pain visual analog scale scores in the MIDLF group were significantly lower than the PLIF group (P<0.05). The improvement in Oswestry Disability Index scores during 3-month follow-up displayed a significant difference between the 2 groups (P < 0.05). The fusion rate tended to be higher in the MIDLF group; however, the difference was not significant (P > 0.05). There was no significant difference in respect to screw loosening and cage subsidence rate. There were 2 cases of complications both occurring in the PLIF group. MIDLF is safe and effective for lumbosacral fusion and in line with the concept of enhanced recovery after surgery.

The Law of Liquid–Solid Carrying in the Wellbore of Natural Gas Hydrate Gas Well under the Condition of Foam Drainage Gas Recovery

During the trial production of marine gas hydrate in the former Soviet Union, Canada, North Slope of Alaska, South Sea Trough of Japan and Shenhu Sea of South China Sea, the problem of sand and water production cannot be avoided. The problems of sand production and water production in the process of natural gas hydrate depressurization exploitation have seriously restricted the exploitation efficiency and production of natural gas hydrate. The problems of sand production and water production are some of the main factors that prevent natural gas hydrate being commercially exploited. Therefore, it is urgent to carry out useful, relevant and cutting-edge research on the efficient drainage of sand and water from the wellbore in the process of natural gas hydrate mining. This paper innovatively proposes liquid-carrying and solid-carrying technology under foam circulation purging to address the existing problems of sand removal and drainage technology in hydrate mining. At present, no scholar has used this technology to solve the problem of sand removal and drainage in hydrate mining. Therefore, the research on efficient drainage is imperative. In this paper, We mainly studied the liquid-carrying and solid-carrying of vertical wellbore under the condition of foam cycle purging. We have revealed the relevant the liquid-carrying law and solid-carrying law through the above research.

Shape-memory responses compared between random and aligned electrospun fibrous mats.

Significant progress has been made in the design of smart fibers toward achieving improved efficacy in tissue regeneration. While electrospun fibers can be engineered with shape memory capability, both the fiber structure and applied shape-programming parameters are the determinants of final performance in applications. Herein, we report a comparison study on the shape memory responses compared between electrospun random and aligned fibers by varying the programming temperature T prog and the deforming strain ε deform . A PLLA-PHBV (6:4 mass ratio) polymer blend was first electrospun into random and aligned fibrous mat forms; thereafter, the effects of applying specific T prog (37°C and 46°C) and ε deform (30%, 50%, and 100%) on the morphological change, shape recovery efficiency, and switching temperature T sw of the two types of fibrous structures were examined under stress-free condition, while the maximum recovery stress σ max was determined under constrained recovery condition. It was identified that the applied T prog had less impact on fiber morphology, but increasing ε deform gave rise to attenuation in fiber diameters and bettering in fiber orientation, especially for random fibers. The efficiency of shape recovery was found to correlate with both the applied T prog and ε deform , with the aligned fibers exhibiting relatively higher recovery ability than the random counterpart. Moreover, T sw was found to be close to T prog , thereby revealing a temperature memory effect in the PLLA-PHBV fibers, with the aligned fibers showing more proximity, while the σ max generated was ε deform -dependent and 2.1-3.4 folds stronger for the aligned one in comparison with the random counterpart. Overall, the aligned fibers generally demonstrated better shape memory properties, which can be attributed to the macroscopic structural orderliness and increased molecular orientation and crystallinity imparted during the shape-programming process. Finally, the feasibility of using the shape memory effect to enable a mechanoactive fibrous substrate for regulating osteogenic differentiation of stem cells was demonstrated with the use of aligned fibers.

Solvent-based recovery of acrylate polymer from display film waste

Acrylate polymer is widely used to manufacture display films as an adhesive. Improper disposal of acrylate polymer-containing display film waste (a kind of E-waste) may cause serious environmental problems. As an effort to develop a display film waste treatment strategy, this study applied a solvent-based method to recover acrylate polymer from display film waste. The solubility of acrylate polymer (e.g. poly( tert-butyl acrylate)) in 18 different organic solvents was calculated using Hansen solubility parameters. As a result, 2-butanol and methyl acetate were chosen as organic solvents for the acrylate polymer recovery from the display film waste. Effects of various recovery parameters (e.g. temperature, time, and stirring speed) on the recovery of acrylate polymer in five different solvent systems consisting of 2-butanol and methyl acetate (2-butanol, methyl acetate, 1:1 mixture, 1:2 mixture, and 2:1 mixture) were explored. 2-Butanol was found to be a better solvent than any others because it is more hydrophobic than methyl acetate. The recovery condition at which the highest acrylate polymer recovery yield in 2-butanol was obtained was T = 30 °C, t = 1 h, and stirring speed of 250 r/min, reaching 8.28 wt%. This study would help to develop an E-waste recycling method that can be recovering value-added products from E-waste.

E-RAPORT Implementasi E-Raport Berbasis Chatbot Studi Kasus di SMA Dipoenogoro 2 Jakarta

With the rapid development of modern information and technology in all fields, including education, the order of learning activities in schools can be changed to become more effective and efficient. A transcript is the result of each student or student's values ​​during a semester entered or recorded in a report. To increase the effectiveness and efficiency of report card distribution, a simple electronic report or electronic report card program has been developed that student parents can use to know their sons and daughters' school performance. The use of electronic reporting is therefore considered very important given that it is currently a condition of recovery for all sectors affected by the Covid-19 pandemic. , integrated with Python, MySQL database and linked to web program, chatbot based and implemented in SMA Dipoenogoro 2 East Jakarta. The way it works is by using an autoresponder program that calls a database of student grades stored in a database. The student's grades are then converted to a PDF file, and the student's parents simply need to download the transcript and the student's study link. Output the results in PDF format and print without coming to school. In the methods used, the collection technology consists of: Literary observations, interviews, research. The application development method is Extreme Programming, and the service implementation method is implementation method (evidence-based practice) and public relations. The socialization and presentation results showed a good and positive response among all parties involved, i.e. the students' parents and teachers. From a student's parent's point of view, the system is very welcome as it allows them to easily know their child's academic performance. Of course, parents can monitor their child's developmental learning patterns during the school year. Teachers, on the other hand, perceive this advantage as being more effective and efficient. From entering academic records for each student to distributing transcripts, supporting learning activities in modern schools where technology is rapidly developing can be very useful.

Application of mixed reality technology in talocalcaneal coalition resection.

With positive outcomes recorded, the mixed reality (MR) technology has lately become popular in orthopedic surgery. However, there are few studies that specifically address the utility of MR in talocalcaneal coalitions (TCC) resection. Our goal in this retrospective study is to assess certain data while examining the viability of using MR to treat TCC resection. Six consecutive patients with TCC diagnosed by computed tomography (CT) for which nonoperative therapy had failed and MR system assisted TCC resection were included in this study from March 2021 to December 2021. The feasibility and accuracy of TCC resection were assessed by post-operation radiography. The American Orthopaedic Foot & Ankle Society (AOFAS) hindfoot score and visual analog scale (VAS) score were used to assess the recovery condition and pain level pre- and post-operation. The surgeon can accurately resect the TCC according to the preoperatively determined range by superimposing the holographic model with the actual anatomy of the TCC using an MR system. Additionally, no additional x-ray was necessary while operating. Mean follow-up was 10.3 months, with a minimum of 6 months. There is a significant difference between the preoperative AOFAS score of 53.4 ± 3.8 and the 6-month follow-up AOFAS score of 97.3 ± 2.2 (p < 0.05). There is also a significant difference between the preoperative VAS score of 8.1 ± 0.7 and the 6-month follow-up VAS score of 1.7 ± 0.4 (p < 0.05). All individuals had clinical subtalar mobility without stiffness following surgery. While the TCC resection operation is being performed, the application of MR technology is practicable, effective, and radiation-free, giving surgeons satisfactory support.