Processing Delay Research Articles

ANALYSIS OF STUDENTS' LEARNING DIFFICULTIES IN SCIENCE LEARNING IN SMP NEGERI 2 PENDOPO

In the learning process, learning difficulties are a condition of students in receiving lessons that will cause an obstacle in a person's learning process. learning difficulties in children can be seen in the classroom learning process, so this needs to be a major concern in the child's future self-development. The population in this study were all students of class IX SMP Negeri 2 Pendopo. The method used in this research is descriptive qualitative method. This method describes the data obtained through observation of data from the school. From the results of the study most students have difficulty in learning to study science in class. Even some students experience a long delay in the learning process. This is characterized by the inability of students to follow class learning in science learning. Data analysis obtained data that the lowest questionnaire value is in the realm of score 65, namely learning difficulties are at a high level of learning difficulty, then the questionnaire value is in the realm of score 71, namely learning difficulties are at a moderate level, and for the highest questionnaire value is in the realm of score 88, namely the level of learning difficulty is low. Learning difficulties in class IX students of SMP Negeri 2 Pendopo are obtained from many factors both internally which include physiological and external factors which include the social environment.

Communication efficient federated learning with data offloading in fog-based IoT environment

Federated Learning (FL) has become a popular distributed machine learning technique that preserves privacy of data set generated by the Internet of Things (IoT) devices. However, straggler effect, and communication delay are the two major issues that should be properly taken care during model preparation of any FL process. In this study, we propose a novel and efficient scheme, called Fog Cloud Assisted Federated Learning (FCAFL) in IoT platform that address these issues. Specifically, the proposed scheme is shown to reduce the overall communication delay of the global model preparation in the FL process. It is also able to resolve straggler effect by employing clustering of the IoT devices with an efficient scheme of cluster head (CH) selection based on minimum intra-cluster distance and maximum residual energy. In order to reduce communication delay further, we also propose an efficient scheme of fog node selection using Genetic Algorithm (GA) by formulating the data offloading as a single objective problem with latency as an offloading parameter. There are some existing schemes which address straggler effect and communication delay. However, none of their approaches incorporate explicit clustering technique utilizing residual energy and minimum intra-cluster distance of the CHs to select clients, aiming to address the straggler effect. Additionally, their works do not involve any data offloading as a means to reduce communication delay in the FL process. The simulation results demonstrate better performance of the proposed FCAFL as compared to the traditional FL and existing approaches, namely, Hierarchical Federated Edge Learning (HFEL) and FedFog with respect to communication cost. The FCAFL also outperform traditional FL and HFEL with respect to training and testing accuracy of the produced FL model. The validity of the result is additionally proved through a widely recognized statistical technique, the analysis of variance (ANOVA), followed by a least significant difference (LSD) post-hoc analysis.

Scoria cone erosional degradation by incision: Different behaviors in three volcanic fields reflect environmental conditions

Abstract Alluvial processes acting on scoria cones cause the development of a drainage network composed of radially distributed rills and gullies parallel to the volcanic edifice's downslope direction. We quantify the degree of drainage network development by applying the Average Erosion Index (AEI) method to scoria cones from the arid to semi-arid Lunar Crater volcanic field (Nevada, United States) and comparing our results with previously obtained results from two tropical volcanic fields (Sierra Chichinautzin volcanic field and the Parícutin-Tancítaro region, both in central Mexico). We show that the AEI method is useful in determining geomorphic age relations when calibrated separately for each field. Furthermore, the differences in AEI results for the three studied fields indicate that the method provides a way of quantifying the effects of different alluvial erosion rates at volcanic fields across various environments, including a delay in alluvial processes on cones in arid settings that has been qualitatively inferred by previous studies.

Toward Accountability: A Qualitative Assessment of Supervision Officers’ Responses to Noncompliance During the COVID-19 Pandemic

The emergence of the COVID-19 pandemic placed new strains on community corrections including officers’ ability to enforce and respond to client noncompliance. With system-wide closures to courthouses, delays in case processing, and limited incarceration space, supervision officers were faced with new challenges regarding the availability of sanction response options. The goal of the current study was to examine how supervision officers responded to noncompliance when traditional, incarceration-based sanctions were largely unavailable. Drawing on qualitative interviews with American probation/parole officers (PPOs) ( n = 42), we identified several themes surrounding changes in officers’ strategies to address and respond to noncompliance. Results from thematic analysis suggest major changes in how PPOs monitored supervision compliance during the pandemic including changes to client supervision requirements, modality of contacts, and use of technology for remote surveillance. Findings also revealed changes in how PPOs applied traditional graduated sanctions during the pandemic. Implications of these findings are discussed.

Teaching English to Students with Autism Spectrum Disorder (ASD)

Students with autism spectrum disorder (ASD) typically show a unique pattern in their language learning. This fact has been documented in a number of earlier investigations. However, it was discovered that Indonesian teachers and educational institutions were insufficiently prepared to fulfill the needs of their students, both in terms of teaching strategies and the material development. This study then aimed at examining appropriate strategies of teaching English to ASD students as well as finding out the challenges faced by teacher in teaching English in the classroom. The research design of this study was case study research with qualitative approach. The participant of this study was English teacher at SLBN 01 Lombok Timur chosen using purposive sampling. The researchers used documentation, in-depth interviews, and observation to acquire data. The results revealed that the teacher faced some challenges in teaching ASD students, such as lack of focus and concentration during teaching and learning process and speech delay. To address these issues, the teacher and school principle used some strategies to teach children with autism, namely developing oral language comprehension and developing lesson plan with visual media to help the student learn English as a foreign language

A cloud-edge collaborative computing framework using potential games for space-air-ground integrated IoT

As a critical component of space-air-ground integrated IoT, the aerial network provides highly reliable, low-latency and ubiquitous information services to ground users by virtue of their high mobility, easy deployment and low cost. However, the current computation and resource management model of air-ground integrated networks are insufficient to meet the latency demanding of emerging intelligent services such as autonomous systems, extended reality and haptic feedback. To tackle these challenges, we propose a computation offloading and optimization method based on potential game. First, we construct an cloud-edge collaborative computing model. Secondly, we construct Offloading Decision Objective Functions (ODOF) with the objective of minimum task processing latency and energy consumption. ODOF is proved to be a Mixed Inferior Nonlinear Programming (MINLP) problem, which is hard to solve. ODOF is converted to be a full potential game, and the Nash equilibrium solution exists. Then, a computational resource allocation algorithm based on Karush–Kuhn–Tucker (KKT) conditions is proposed to solve resource allocation problem. On this basis, a distributed game-based computational offloading algorithm is proposed to minimize the offloading cost. Extensive simulation results demonstrate that the convergence performance of the proposed algorithm is reduced by 50%, the convergence time is reduced by 13.3% and the average task processing delay is reduced by 10%.

Time-Delay following Model for Connected and Automated Vehicles with Collision Conflicts and Forced Deceleration

The connected and automated car-following model can provide a model reference for the queue control algorithm of connected and automated driving and has become a hot research topic in the field of connected vehicles and intelligent transportation. A queue of fast-moving vehicles on urban roads can cause traffic congestion when forced to slow down and, in serious cases, can cause rear-impact accidents. Therefore, this paper introduces information on the time delay of information reception and processing, a collision risk quantification factor reflecting the speed characteristics of the front vehicle, and the speed limit and proposes an improved intelligent driver collision quantification model that considers drastic changes in the speed of the front vehicle. Additionally, the model parameters are calibrated using real vehicle data from urban roads combined with an improved salp swarm algorithm. Finally, the evolution rule of disturbance in the traffic flow under different states is analyzed using a time-space diagram, and the DIDM-CSCL model is compared with the classical IDM. The results show that the improved IDM can better describe the following behavior at the microscopic level, which provides a basis for research related to connected and automated driving.

Blockchain Based Decentralized and Proactive Caching Strategy in Mobile Edge Computing Environment.

In the mobile edge computing (MEC) environment, the edge caching can provide the timely data response service for the intelligent scenarios. However, due to the limited storage capacity of edge nodes and the malicious node behavior, the question of how to select the cached contents and realize the decentralized security data caching faces challenges. In this paper, a blockchain-based decentralized and proactive caching strategy is proposed in an MEC environment to address this problem. The novelty is that the blockchain was adopted in an MEC environment with a proactive caching strategy based on node utility, and the corresponding optimization problem was built. The blockchain was adopted to build a secure and reliable service environment. The employed methodology is that the optimal caching strategy was achieved based on the linear relaxation technology and the interior point method. Additionally, in a content caching system, there is a trade-off between cache space and node utility, and the caching strategy was proposed to solve this problem. There was also a trade-off between the consensus process delay of blockchain and the caching latency of content. An offline consensus authentication method was adopted to reduce the influence of the consensus process delay on the content caching. The key finding was that the proposed algorithm can reduce latency and can ensure the security data caching in an IoT environment. Finally, the simulation experiment showed that the proposed algorithm can achieve up to 49.32%, 43.11%, and 34.85% improvements on the cache hit rate, the average content response latency, and the average system utility, respectively, compared to the random content caching algorithm, and it achieved up to 9.67%, 8.11%, and 5.95% increases, successively, compared to the greedy content caching algorithm.

The emergence of identity, agency and consciousness from the temporal dynamics of neural elaboration.

Identity-differentiating self from external reality-and agency-being the author of one's acts-are generally considered intrinsic properties of awareness and looked at as mental constructs generated by consciousness. Here a different view is proposed. All physiological systems display complex time-dependent regulations to adapt or anticipate external changes. To interact with rapid changes, an animal needs a nervous system capable of modelling and predicting (not simply representing) it. Different algorithms must be employed to predict the momentary location of an object based on sensory information (received with a delay), or to design in advance and direct the trajectory of movement. Thus, the temporal dynamics of external events and action must be handled in differential ways, thereby generating the distinction between self and non-self ("identity") as an intrinsic computational construct in neuronal elaboration. Handling time is not what neurons are designed for. Neuronal circuits are based on parallel processing: each bit of information diverges on many neurons, each of which combines it with many other data. Spike firing reports the likelihood that the specific pattern the neuron is designed to respond to is present in the incoming data. This organization seems designed to process synchronous datasets. However, since neural networks can introduce delays in processing, time sequences can be transformed into simultaneous patterns and analysed as such. This way predictive algorithms can be implemented, and continually improved through neuronal plasticity. To successfully interact with the external reality, the nervous system must model and predict, but also differentially handle perceptual functions or motor activity, by putting in register information that becomes available at different time moments. Also, to learn through positive/negative reinforcement, modelling must establish a causal relation between motor control and its consequences: the contrast between phase lag in perception and phase lead (and control) in motor programming produces the emergence of identity (discerning self from surrounding) and agency (control on actions) as necessary computational constructs to model reality. This does not require any form of awareness. In a brain, capable of producing awareness, these constructs may evolve from mere computational requirements into mental (conscious) constructs.

Multi-index control strategy from cement calcination denitration system: a model predictive control method for combined control of nitrogen oxide and ammonia escape.

The cement industry is one of the main sources of NOx emissions, and automated denitration systems enable precise control of NOx emission concentration. With non-linearity, time delay and strong coupling data in cement production process, making it difficult to maintain stable control of the denitration system. However, excessive pursuit of denitration efficiency is often prone to large ammonia escape, causing environmental pollution. A multi-objective prediction model combining time series and a bi-directional long short-term memory network (MT-BiLSTM) is proposed to solve the data problem of the denitration system and achieve simultaneous prediction of NOx emission concentration and ammonia escape value. Based on this model, a model predictive control framework is proposed and a control strategy of denitration system with multi-index model predictive control (MI-MPC) is built based on neural networks. In addition, the differential evolution (DE) algorithm is used for rolling optimization to find the optimal solution and to obtain the best control variable parameters. The control method proposed has significant advantages over the traditional PID (proportional integral derivative) controller, with a 3.84% reduction in overshoot and a 3.04% reduction in regulation time. Experiments prove that the predictive control framework proposed in this paper has better stability and higher accuracy, with practical research significance.

Utilizing unmanned aerial vehicle technology for environmental monitoring: Future trends, methods, and applications

AbstractThis paper provides an overview of the application of Unmanned Aerial Vehicles (UAVs) in environmental monitoring, with a focus on air pollution surveillance. Initially, the paper highlights the significance of UAV technology for real‐time air quality monitoring in developing countries and explores the characteristics of fixed‐wing and multirotor UAVs in monitoring air pollutants. It then delves into methods of measuring air pollutants using UAV platforms, including the three‐dimensional distribution of pollutants around roadsides, green belts, and street‐facing communities. The advantages of UAV measurements, such as lower costs, greater flexibility, and the ability to monitor in three dimensions, are emphasized. Finally, the paper discusses future trends in the field of environmental monitoring using UAVs, including technological advancements, evolving regulatory policies, and integration with other technologies like Artificial Intelligence, big data analytics, and 5G communication. These developments suggest an increasingly significant role for UAVs in environmental monitoring, enhancing efficiency, reducing costs, and contributing to public participation and environmental awareness. However, due to the delays in publication and review processes, the most recent studies may not have been included in the literature review, leading to a scenario where the review might not reflect the latest research trends.

Case-series of patients treated with anti-NMDAR encephalitis at Semmelweis University

Introduction Anti-NMDAR encephalitis is an autoimmune disorder, characterized by neuropsychiatric symptoms, such as mood instability, psychosis, catatonia, dyskinesia, seizures and vegetative lability. Psychiatric symptoms usually occur in the initial phase, therefore almost half of the patients are first observed at a psychiatric unit, however in later phases the patients’ condition often show progression with the characteristic neurological symptoms, such as perioral dyskinesia and seizures. Although, early recognition and treatment is essential to reach good outcomes, delay in the diagnostic process often happens due to the unspecific early symptoms and the lack of knowledge of this disorder amongst psychiatrists. Moreover, there are cases, where neurological symptoms do not appear, which can lead to diagnostic failure and mismanagement of these patients. Since anti-NMDAR encephalitis is a rare condition, it is important to treat such cases in specific centres, where sufficient knowledge and multidisciplinary approaches are available.ObjectivesOur aim was to gather all patients’ data treated with anti-NMDAR encephalitis at two departments (Neurology and Psychiatry) of Semmelweis University. We wanted to analyse psychiatric manifestations of the disorder in details and follow these symptoms long term, with special interest on the cognitive symptoms.One of our aims was to follow-up these patients and measure antibody titres in their serum, to be able to asses, whether there was any association between prolonged serum positivity and cognitive impairment.MethodsWe have retrospectively analysed data of previous cases and prospectively followed up recently hospitalised patients.Neurocognitive assessment had been conducted by the same psychologist, all the patients were followed up by the same interdisciplinary team, including a neurologist and two psychiatrists. Laboratory tests (autoimmune antibody essays) were conducted by the Immunological Laboratory at Semmelweis University.ResultsAltogether, 13 female patients were treated with anti-NMDAR encephalitis in the past ten years at Semmelweis University. All of them received plasma exchange, iv. steroids and azathioprine. 8 out of the 13 needed ventilation and intensive care treatment. 2 of these patients have mild psychiatric symptoms as residual symptoms, and 1 of them is still in the recovery stage, currently experiencing mild cognitive symptoms.Only two patient had ovarian teratomas out of the 13, which is a lower number than expected from previous studies. 4 out of 12 had positive antibody titre at follow up, one patient is still at recovery stage, however her antibody titres are still very high.ConclusionsSemmelweis University is one of the largest centre treating patients with anti-NMDAR encephalitis in Hungary. We had altogether 13 patients in the last ten years, with very good outcome, since all of them recovered, although 2 have residual symptoms.Disclosure of InterestNone Declared

Improvement and analysis of aircraft maintenance flow process using lean manufacturing, PDCA, PICA, and VSM for sustainable operation system

The aircraft maintenance process plays a crucial role in ensuring the safety and reliability of air travel. However, this process often encounters inefficiencies and waste, reducing productivity. This study aims to analyze the flow of the aircraft maintenance process and identify areas for improvement using Lean Manufacturing, Plan-Do-Check-Act (PDCA), Problem Identification and Corrective Action (PICA), and Value Stream Mapping (VSM) methods within a sustainability system. This study demonstrates how non-value-adding (NVA) and necessary but non-value-adding activities (NNVA) contribute to maintenance process delays, waste generation, and decreased process efficiency. It also underscores the impact of waste on process performance and proposes potential time savings through focused improvements. The result revealed that inventory wastage was the most prevalent issue, accounting for 9 out of 26 activities, followed by waiting for wastage with seven activities and defects with 5 activities. These wasteful activities are primarily concentrated in phases 3, 4, and 5, encompassing inspection, repair, and installation phases. Consequently, there is a pressing need to enhance efficiency in all phases, particularly phases 3, 4, and 5, by targeting non-value-added activities. Implementing these improvements can reduce the total process time from 18,229 minutes to 15,170.2 minutes, offering a detailed roadmap for enhancing the aircraft maintenance process. Thus, this study is an alternative consideration for the aircraft maintenance industry to ensure a continuous improvement process in facing the challenges of global industry innovation as the category of Sustainable Development Goals (SDGs).

Justice Connectivity in the Criminal Prosecution of Human Trafficking

Introduction: The involvement of members of the army of the Republic of Indonesia and The Police of the Republic of Indonesia became a special obstacle in the handling of human trafficking cases. The difficulties are due to the existence of special regulations governing the courts applicable to members of the Indonesian army who commit criminal acts.Purposes of the Research: The case may be dealt with in conjunction with a criminal offense of trafficking in persons, given that the offense has fulfilled the element of involvement (also, deelneming) or jointly (mede dader) between a civilian and a person with military status in the criminal offense of trafficking.Methods of the Research: The research used normative jurisprudence, focusing on primary legal material such as Act No. 21 of 2007 on Punishment of Trafficking in Persons, Law No. 31 of 1997 on Military Justice, and Law No. 2 of 2002 on the State Police of the Republic of Indonesia. The research was descriptive-analytical, interpreting the law according to its context and analyzing its results in a qualitative, descriptive manner. Secondary legal material included publications on human rights protection, particularly those relating to women and children. The fact approach was used to study human trafficking facts and provide critical analysis. Library documents, books, and journals were also analyzed. Data analysis involved document study techniques and qualitative analysis, with the results and author's analysis of relevant theories.Results of the Research: The article addresses the Indonesian Army and Police's involvement in human trafficking offenses, emphasizing the intricacies and problems of prosecuting such instances. The author believes that the judicial system must promote justice and openness in such circumstances. The Indonesian legal system recognizes both military and civilian jurisdiction over crimes committed by military personnel, but implementation gaps cause uncertainty and delays in judicial processes. Handling crimes involving several institutions necessitates close teamwork, particularly among the Indonesian army and police. The mechanism to facilitate collaborative processing of human trafficking cases is connectedness justice, which decides which court has the authority to punish members of the Indonesian army for human trafficking.

Justice Connectivity in the Criminal Prosecution of Human Trafficking

Introduction: The involvement of members of the army of the Republic of Indonesia and The Police of the Republic of Indonesia became a special obstacle in the handling of human trafficking cases. The difficulties are due to the existence of special regulations governing the courts applicable to members of the Indonesian army who commit criminal acts.Purposes of the Research: The case may be dealt with in conjunction with a criminal offense of trafficking in persons, given that the offense has fulfilled the element of involvement (also, deelneming) or jointly (mede dader) between a civilian and a person with military status in the criminal offense of trafficking.Methods of the Research: The research used normative jurisprudence, focusing on primary legal material such as Act No. 21 of 2007 on Punishment of Trafficking in Persons, Law No. 31 of 1997 on Military Justice, and Law No. 2 of 2002 on the State Police of the Republic of Indonesia. The research was descriptive-analytical, interpreting the law according to its context and analyzing its results in a qualitative, descriptive manner. Secondary legal material included publications on human rights protection, particularly those relating to women and children. The fact approach was used to study human trafficking facts and provide critical analysis. Library documents, books, and journals were also analyzed. Data analysis involved document study techniques and qualitative analysis, with the results and author's analysis of relevant theories.Results of the Research: The article addresses the Indonesian Army and Police's involvement in human trafficking offenses, emphasizing the intricacies and problems of prosecuting such instances. The author believes that the judicial system must promote justice and openness in such circumstances. The Indonesian legal system recognizes both military and civilian jurisdiction over crimes committed by military personnel, but implementation gaps cause uncertainty and delays in judicial processes. Handling crimes involving several institutions necessitates close teamwork, particularly among the Indonesian army and police. The mechanism to facilitate collaborative processing of human trafficking cases is connectedness justice, which decides which court has the authority to punish members of the Indonesian army for human trafficking.

Effects of Carbohydrate Intake on Anopheles darlingi and Anopheles deaneorum Fitness under Lab-Reared Conditions.

The maintenance of a highly productive colony of anopheline mosquitoes requires standardized methods in order to obtain a sufficient number of homogeneous individuals for malaria research. In this context, nutritional status may affect survival, fecundity, and the capacity to support pathogen development. Here we assess the effects of carbohydrate sources on fecundity, survival, and susceptibility to Plasmodium vivax infection in colonies of Anopheles darlingi and Anopheles deaneorum mosquitoes. Newly emerged females from each species were fed either 10% sugar or 15% honey solutions until the end of each experiment. The type of carbohydrate meal did not impact any entomological parameters for An. deaneorum, except for survival. For both species, honey meal significantly increased median survival post-emergence by three to four days, probably due to its nutritional value. For An. darlingi fed with honey, a higher mean frequency in stage 5 was observed at 48 h post-blood-meal, which could indicate a delay in the digestion process. However, no effects on fecundity parameters were observed. Regarding susceptibility, An. darlingi fed with sugar exhibited a low intensity of sporozoites, although any negative effects of sucrose on sporozoites invasions in the salivary glands are unknown. Based on the increase in mosquito survival, a carbohydrate source composed of 15% honey solution could be better for maintaining An. darlingi and An. deaneorum in the lab-rearing context.

Evaluation and Improvement of Business Processes in the Operational Division Using Business Process Improvement (BPI) (Case Study: PT. Mitrasukses Engineering Indonesia

PT. Mitrasukses Engineering Indonesia (MEI) is a manufacturing company specializing in custom machine production. The company has an operational division responsible for managing product orders until they are delivered. The main problem in the operational division of PT. MEI is the inconsistency between product designs and customer needs, leading to machine design redesigns and delays in order processing. Therefore, a more detailed analysis of potential errors is required, followed by recommendations for improvement through business process improvement. The methodology used to analyze potential errors is the Failure Mode and Effect Analysis (FMEA) method. Meanwhile, the methodology used to provide improvement recommendations is the Business Process Improvement (BPI) method with the streamlining tools. The improvement measures adopted include streamlining tools such as Standardization, Upgrading, Simplification, Automation, and Error Proofing. Simulations will be conducted after modeling the improved business process based on the improvement recommendations. The simulations compare the time between the current business process model (as-is) and the improved business process model (to-be) to determine the percentage increase in efficiency. Efficiency occurs due to changes in process activities in the current business process that has been improved. The simulation results indicate an efficiency improvement in the product ordering process by 16.58%, material procurement process by 35.37%, production process by 38.85%, and product delivery process by 22.42%.

Effect of HPO42− and brushite on gypsum reactivity and implications for utilization of phosphogypsum in plaster production

The implementation of a sustainable development strategy holds the potential to enhance productivity, profitability, and overall efficiency by leveraging by-products from other industries. In plaster manufacturing the substitution of natural gypsum with synthetic gypsum is worth exploring. Phosphogypsum (PG) represents a significant fraction of synthetic gypsum production, arising as a by-product of phosphoric acid manufacturing. However, the presence of impurities in PG, particularly phosphorus, poses challenges to its use as a plaster material. To identify the phases present in PG, quantify their occurrences and understand their effects on dehydration and hydration processes, our study aimed to examine simplified models. These models are specifically designed to provide insights into the underlying mechanisms governing the hydration reactivity of hemihydrate. Pure gypsum and brushite were synthesized, and mechanical mixing was carried out to explore how brushite affects the characteristics of gypsum. Additionally, a solid solution of Ca(SO4)1-x(HPO4)x·2H2O, where 0 < x < 1, was prepared to characterize and quantify the syncrystallized HPO42− as well as the effects of this impurity on typical gypsum use cases. The synthesized materials underwent physical and chemical characterization using SEM, XRD, IR spectroscopy, DSC, pH and conductivity measurements, and ion chromatography. The results demonstrated that the HPO42− ions can substitute for sulfate ions in gypsum to form solid solutions. The maximum quantity of HPO42− ions in the gypsum lattice is approximately 10%, leading to the crystallization of gypsum into sand rose shape rather than needle crystals. As the concentration of HPO42− ions increases, a new phase known as ardealite (Ca(SO4)1-x(HPO4)x·2H2O) with 0.42 < x < 0.54 emerges, followed by brushite (CaHPO4·2H2O). During the calcination of brushite at 160 °C, a mixture of brushite and monetite formed that exhibits different properties compared to its natural counterpart. In the presence of syncrystallized HPO42− ions, the transformation from anhydrite III to anhydrite II occurred at higher temperatures than for pure gypsum. The reactivity of calcined samples indicate that HPO42− ions from the dehydration products of brushite caused a delay in hydration, with the maximum delay observed at a calcination temperature of 160 °C. At this temperature, monetite begins to crystallize, and it is characterized by its inert nature, exhibiting no reactivity with water. This explains the observed decrease in setting times as the calcination temperature rises. Moreover, syncrystallized HPO42− ions induced a significant delay in the hydration process. Our research revealed that adjusting the calcination temperature can mitigate the retarding effect associated with this impurity, suggesting an industrial tendency to use the lowest possible temperature during the calcination process of PG containing syncrystallized phosphate impurity. In addition, we have observed that adjusting the pH of the mixing water to lower values can significantly accelerate setting times.

The Conceptual Framework for 360 Degree Feedback: Objectives, Requirements, and Conditions for Success

360-degree feedback is the process of collecting and measuring co-worker feedback from multiple sources. The descriptive objectives of this study to discussed the conceptual framework of the 360-degree feedback method, which is part of an extensive study conducted by the researcher. Objectives: presenting the concept of the feedback method, defining the objectives of the method, discussing the reasons for use, the advantages and disadvantages of the method, application requirements, and finally the conditions for the success of the feedback (360) degrees. The study adopted the descriptive analytical approach, and the method of collecting quantitative. The results showed that the objectives of the method are useful for work and career development, including self-development, leadership development, management and implementation development, identifying the training needs of employees, reducing traditional performance appraisal errors, and introducing the individual to his or her level of performance. As for the reasons that led to the use of the method, they are: the transformation of companies from hierarchical organization to horizontal organization, widening the scope of supervision, obtaining broader points of view, improving the school climate based on justice. Among the advantages are for revealing the gap between the individual's perspective in evaluating his or her performance, and the perspective of others for this performance, building training programs for employees, enhancing the orientation towards teamwork and exchanging experiences, helping to make decisions related to promotion and wage increase. As for the defects, they included: the possibility of being affected by various biases, such as the halo effect, the recency bias, the indulgence bias, in addition to the employees' reluctance to provide negative feedback even if it was honest, the delay in the feedback process, and low participation rates. The errors were limited to (13) errors that may occur when using this method. As for the requirements, they included: defining objectives, defining target individuals. Determine the method of analyzing the information, carrying out an awareness and communication campaign, and following up the implementation accurately. Among the conditions for the success of the assessment: that the feedback is done honestly in the light of specific objectives, adopt impartiality, objectivity, scientific and professional properly. Focus on the performance, not the person. Taking into account the feelings of workers when providing negative feedback. It should be comprehensive and provide positive and negative feedback. Share external sources.

Enhancing Neurorehabilitation through Closed-Loop Control of Robotic Exoskeletons and Brain-Computer Interfaces

Neurorehabilitation is an important part of getting better for people who have nerve illnesses or accidents. Brain-computer interfaces (BCIs) and robotic exoskeletons have shown promise in better recovery results by allowing focused therapy and making neurons more flexible. This paper gives an outline of the current study on closed-loop control systems that combine robotic exoskeletons and brain-computer interfaces (BCIs) for neurorehabilitation. It also talks about the pros and cons of these systems. Closed-loop control systems try to make two-way communication possible between the user's brain activity (measured by BCIs) and the robotic suit. This way, treatments can be changed in real time based on the user's neurological signs. This method makes it possible for more personalized and flexible therapy plans, which can help people recover their movement skills and become more useful. When BCIs are combined with artificial exoskeletons, they offer many benefits, such as exact control over movement parameters, increased involvement and motivation through immersive feedback, and the chance to induce learning by coordinating brain activity and physical output. To make these systems work better, though, problems like signal processing delay, calibration issues, and the need for user training must be fixed. Recent research has shown that closed-loop control systems can be used and might be helpful in a number of neurorehabilitation situations, such as helping people who have had a stroke or spinal cord injury get their movement skills back and helping people with neurological conditions regain their independence. In the future, researchers should work on improving these systems' algorithms and hardware, running large-scale clinical studies to show that they work, and finding new ways to improve neurorehabilitation results by combining modern technology.