Instruction Set Research Articles

Family photos and architectural representation: Using photo-collage sketchbook to understand behaviour patterns in family apartment buildings

This article presents a three-step process of collecting, deconstructing and reconstructing family photos in ethnographic research investigating the sociocultural aspects of behaviour patterns in family apartment buildings. The first author conducted the study for her Ph.D. thesis in architectural design, supervised by the second and third authors. As an architect, the first author created a photo collage sketchbook, combining various representational techniques of her profession with family photographs. While observing the family apartment building and trying to understand the “gecekondu” where the participants lived before the family apartment building, the researcher realised that the interviews were insufficient, and this problem forced the use of a photo collage sketchbook. To synthesise ethnographic knowledge, research started with obtaining family photos. After extracting and grouping, the deconstruction process began. Deconstructed layers are then reconstructed by using various architectural representation techniques and text. This photo collage sketchbook has helped us understand various aspects of the family apartment buildings related to architecture and culture. While doing this, the sketchbook prepared with visual contents combined with short notes represents the data collecting, organising, analysing, interpretation, knowledge-making, and presentation stages. In working with a photo collage sketchbook, obtaining family photographs and overlapping the photographs and interviews’ narratives appear challenging. Therefore, collective interviews have been a critical move to compare and verify the memories recalled by the participants. While interviewing, it is vital to show the photos to every participant from a particular age group because they contribute differently to the photo components because of the place experience. So, this study is not about a set of instructions or tools but experiences about the process or approach to constructing ethnographic knowledge.

Single-Instruction-Multiple-Data Instruction-Set-Based Heat Ranking Optimization for Massive Network Flow

In order to cope with the massive scale of traffic and reduce the memory overhead of traffic statistics, the traffic statistics method based on the Sketch algorithm has become a research hotspot for traffic statistics. This paper studies the problem of the top-k flow statistics based on the Sketch algorithm and proposes a method to estimate the flow heat from massive network traffic using the Sketch algorithm and identify the kth flow with the highest heat by using a bitonic sort algorithm. In view of the performance difficulties of applying multiple hash functions in the implementation of the Sketch algorithm, the Single-Instruction-Multiple-Data (SIMD) instruction set is adopted to improve the performance of the Sketch algorithm so that SIMD instructions can process multiple fragments of data in a single step, implement multiple hash operations at the same time, compare and sort multiple flow tables at the same time. Thus, the throughput of the execution task is improved. Firstly, the elements of data flow are described and stored in the form of vectors, while the construction, analysis, and operation of data vectors are realized by SIMD instructions. Secondly, the multi-hash operation is simplified into a single vector operation, which reduces the CPU computing resource consumption of the Sketch algorithm. At the same time, the SIMD instruction set is used to optimize the parallel comparison operation of the flow table in a bitonic sort algorithm. Finally, the SIMD instruction set is used to optimize the functions in the Sketch algorithm and top-k sorting algorithm program, and the optimized code is tested and analyzed. The experimental results show that the time consumed by the advanced vector extensions (AVX)-instructions-optimized version has a significant reduction compared to the original version. When the length of KEY is 96 bytes, the instructions consumed by multiple hash functions account for less in the entire Sketch algorithm, and the time consumed by the optimized version of AVX is about 67.2% of that in the original version. As the length of KEY gradually increases to 256 bytes, the time consumed by the optimized version of AVX decreases to 53.8% of the original version. The simulation results show that the AVX optimization algorithm is effective in improving the measurement efficiency of network flow.

A Classical Architecture for Digital Quantum Computers

Scaling bottlenecks the making of digital quantum computers, posing challenges from both the quantum and the classical components. We present a classical architecture to cope with a comprehensive list of the latter challenges all at once , and implement it fully in an end-to-end system by integrating a multi-core RISC-V CPU with our in-house control electronics. Our architecture enables scalable, high-precision control of large quantum processors and accommodates evolving requirements of quantum hardware. A central feature is a microarchitecture executing quantum operations in parallel on arbitrary predefined qubit groups. Another key feature is a reconfigurable quantum instruction set that supports easy qubit re-grouping and instructions extensions. As a demonstration, we implement the widely-studied surface code quantum computing workflow, which is instructive for being demanding on both the controllers and the integrated classical computation. Our design, for the first time, reduces instruction issuing and transmission costs to constants, which do not scale with the number of qubits, without adding any overheads in decoding or dispatching. Our system uses a dedicated general-purpose CPU for both qubit control and classical computation, including syndrome decoding. Implementing recent theoretical proposals as decoding firmware that parallelizes general inner decoders, we can achieve unprecedented decoding capabilities of up to distances 47 and 67 with the currently available systems-on-chips for physical error rate p = 0.001 and p = 0.0001, respectively, all in just 1 μs.

Engagement, Mental Health, and Substance Use Under In-Person or Remote School Instruction During the COVID-19 Pandemic.

Adolescents' school engagement, mental health, and substance use have been major concerns during the COVID-19 pandemic, particularly given disruptions to school instruction. We examined how the instructional setting was associated with academic and health-related outcomes within an adolescent cohort followed during the pandemic. During 3 semi-annual follow-up surveys, adolescents (N = 1066 students; 2242 observations) from 8 California high schools responded to items measuring academic self-efficacy, school connectedness, internalizing and externalizing problems, and use of substances. Separate generalized estimating equation models predicted outcomes based on the instructional setting. Relative to in-person instruction, students in remote instruction reported lower academic self-efficacy (Beta: -0.11; 95% confidence interval [CI]: -0.22, -0.01) and school connectedness (Beta: -0.37; 95% CI: -0.48, -0.25), greater odds of past 30-day internalizing problems (AOR: 1.46; 95% CI: 1.09, 1.95), externalizing problems (AOR: 1.36; 95% CI: 1.02, 1.82), and cigarette, cigar, smokeless tobacco, or hookah use (AOR: 2.50; 95% CI: 1.06, 5.91), but lower odds of past 30-day e-cigarette use (AOR: 0.50; 95% CI: 0.30, 0.86). Multiple adverse outcomes related to school engagement, mental health, and substance use were associated with remote instruction. To reduce such impacts under future emergencies, schools should rely sparingly on remote instruction and provide appropriate supportive resources.

The experiences and opinions of deaf service users accessing radiology

All healthcare providers must ensure unrestricted access to care and equitable opportunity without barriers. Deaf persons, on the other hand, continue to experience difficulties in all facets of the healthcare system daily. Therefore, the study aims to explore deaf people's perspectives of accessing radiology in Ireland to develop further a set of instructions that could optimize communication between deaf people and radiographers. This was a qualitative study in which the experiences of deaf people were explored by conducting a solution-focused workshop with eight deaf participants. The identified themes from the transcript of the solution-focused workshop revolve around the barriers and challenges that deaf individuals encounter when accessing healthcare services. Also, factors such as stigma, lack of patience and poor attitude can influence deaf people's decision on whether they should return to that healthcare setting. Therefore, creating awareness and improving communication techniques could encourage deaf people to return for treatments or services and prevent a delay in healthcare treatment. Also, A national standard for communicating with deaf patients in Radiology Departments is a vital part that must be considered to ensure the area's continued development and advancement and to bridge the gap in communication between deaf patients and radiographers.

Indonesia Responsibility of Transboundary Haze Pollution by Forest Fires in Perspective of International Environmental Law

At a meeting of environment ministers ASEAN Sub Regional Ministerial Steering Committee on Transboundary Haze Pollution (MSC), Malaysia urges Indonesia to resolve the haze problem by forest fires causing health problems to society and a number of harmful interference Malaysia and Singapore. This leads to the creation of national and international instruments to prevent and control transboundary haze pollution by forest fires. This writing uses a normative legal research method. It also uses cases that refer to cases of forest fires which have occurred as well as the statutory approach that analyzes national laws and international instruments. This writing discusses two main issues, namely: Indonesia responsibility by national law and international environmental law on transboundary pollution by forest fires and Indonesia law action related responsibility on transboundary pollution by forest fires. As for the conclusions that can be drawn are as follows: 1) That Indonesia's responsibility can be carried is increase forest protection efforts, apply sanctions in assertive, give some information and education about dangerous air pollution, responsibility in morals, oversee climate change, and more selective to give permission in forest exploitation. 2) Indonesia legal action related to responsibility can be seen by policy and Indonesia steps and enforcement in resolving forest fires. One of Indonesia's legal actions to resolve forest fires is the issuance of a presidential decree or the Presidential Instructions of the Republic of Indonesia number 11 years 2015 concerning Improvement of Fire Control. This instruction sets government officials to resolve and teamwork and increase law enforcement and assertive sanctions for forest fires activity

Textual Alchemy: AI, Authorship and the Shifting Paradigms of Interpretation

Artificial intelligence is overhauling the publication and textual production. Textual production with Large Language Models (LLMs) is more sophisticated and closer to human knowledge production thanks to its autoregressive nature. AI models by OpenAI such as the Generative Pre-trained Transformer 3 (GPT-3) and its iterations use deep learning to produce more human-like text. Such texts invite all kinds of problems that are not new to the human text-production system. Research shows that the output of such models tends to be biased toward a particular gender, race and ethnicity. This paper explores substantial texts produced by AI including articles, fiction, columns, opinion pieces etc. published in major journals and magazines to understand the nuances of such texts. Moreover, the paper will attempt to understand such features of AI-generated text by presenting the results of a particular set of instructions (prompt) to the LLM. These text outputs will be studied to demonstrate how AI-generated texts pave the way for a “post-post author” era, echoing Barthes’ notion of the “Death of the Author”. The scope, usability and limitations of the AI’s textual production will also be investigated.

Rough Waters Ahead

There are a variety of definitions of the term, handbook. All of them, however, include a reference to factual information on a specific topic or set of topics or instructions dealing with a defined process or set of processes. This generalized and synthesized explanation of what handbooks are certainly applies to Handbook of Revolutions in the 21st Century, edited by Jack Goldstone, Leonid Grinin, and Andrey Korotayev. However, in over one thousand pages, this handbook provides much more than the previous description implies. Not only is the concept of revolution rigorously treated and the theory of revolutions investigated in the opening section of the book, but in the remaining sections of the book, the topics of the history of revolutions, revolutionary waves, revolution in the early twenty-first century, the Arab Spring revolutions, revolutionary movements beyond the Arab Spring, and current and future revolutions are all treated clearly and in depth by a variety of scholars from a diversity of academic specializations. Further, handbooks, often didactic in the extreme, are not known for their insight and creativity; this one will be.

The acquisition of a novel phonetic category in a foreign language setting: Input versus phonological awareness

Input-related factors are fundamental for the acquisition of new second language (L2) phones (e.g., Flege et al., 1995). Nonetheless, evidence from instructional settings suggests that, in foreign language contexts, input alone may not be sufficient for the formation of new phonetic categories. In the present study, we investigated to what extent the acquisition of a novel L2 phone (/ð/) is associated with input-related variables and phonological awareness. First language (L1) Brazilian Portuguese speakers of English answered a language background, a phonological self-awareness questionnaire, and completed a paragraph reading task and a phonological awareness test. The recordings were submitted to acoustic analysis and accuracy assessment by Brazilian teachers of English. Linear mixed-effects models revealed that perceived accuracy was predicted by input quality and phonological self-awareness, suggesting that greater interaction with L1 speakers of the target language and heightened phonological self-awareness play an important role in the acquisition of the tested L2 phone.

Effectiveness of constructivist e-learning module in General Biology

With the need for improved learning materials for General Biology becoming increasingly evident, this study developed a constructivist e-learning module and evaluated its effectiveness for teaching senior high school STEM students. The module, anchored in the 5E Instructional Model (engage, explore, explain, elaborate, and evaluate), was implemented in a blended instruction setting for 81 senior high school STEM students. This module distinguishes itself from traditional e-learning modules by emphasizing student-centered learning and experiential engagement through hands-on activities, problem-solving, and peer collaboration. Pretest and posttest were used to assess content mastery and cognitive skills performance. Mean, standard deviation, and paired t-test were used to describe the scores and significant differences between the scores. The posttest scores revealed a significant increase in both content mastery and cognitive skills performance. The constructivist e-learning module effectively enhances student engagement, content mastery, and cognitive skills development while aligning with curriculum of Philippine Department of Education (DepEd) and can be seamlessly integrated into existing classrooms.

The Influence of Saving Behavior on Retirement Preparation Period Through Financial Literacy, Retirement Funds as a Mediating Variable for LPP RRI Malang Employees

In order to minimize employees' fear of retirement, the aim of the research is to determine the influence of financial literacy, old age financial planning and saving behavior which is supported by control variables consisting of gender, education and income. The population of this study were ASN LPP RRI Malang employees. The sample in this study used 80 employees. The data collection technique uses a questionnaire. The data analysis technique uses SEM-PLS. Based on research results from the data obtained, it shows that financial literacy and financial planning have no effect on retirement readiness. This shows that perhaps employees understand but still do not take advantage of the financial products around them and in managing their finances they do not only think about retirement readiness but also think about consumption and the needs of school children. Meanwhile, saving behavior influences retirement readiness. The existence of supporting income control variables can influence retirement readiness. This shows that existing habits can be applied from childhood to adulthood or old age, that saving is very important for long-term life.or the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text.

A Programmable Crypto-Processor for National Institute of Standards and Technology Post-Quantum Cryptography Standardization Based on the RISC-V Architecture

The advancement of quantum computing threatens the security of conventional public-key cryptosystems. Post-quantum cryptography (PQC) was introduced to ensure data confidentiality in communication channels, and various algorithms are being developed. The National Institute of Standards and Technology (NIST) has initiated PQC standardization, and the selected algorithms for standardization and round 4 candidates were announced in 2022. Due to the large memory footprint and highly repetitive operations, there have been numerous attempts to accelerate PQC on both hardware and software. This paper introduces the RISC-V instruction set extension for NIST PQC standard algorithms and round 4 candidates. The proposed programmable crypto-processor can support a wide range of PQC algorithms with the extended RISC-V instruction set and demonstrates significant reductions in code size, the number of executed instructions, and execution cycle counts of target operations in PQC algorithms of up to 79%, 92%, and 87%, respectively, compared to RV64IM with optimization level 3 (-O3) in the GNU toolchain.

Design of 16 Bit RISC Processor and Implementation using MIPS Technique

This research paper presents design & simulation of a high performance five stage pipelined 8 bit or 16-bit Microprocessor without Interlocked Pipeline Stages (MIPS), which is a Reduced Instruction Set Computing (RISC) architecture based processor. The purpose of RISC microprocessor is to execute a minuscule batch of instructions, with the intention of proliferating the celerity of the processor. This processor was designed with 5 phases of pipeline in particular Instruction Fetch (IF), Instruction Decode & Register Fetch (ID), Execution & Address Calculation (EX), Memory Access (MEM) and Write Back (WB) modules. The designing process was done using a myriad of modules which are the ALU, Control Unit, Program Counter, MUX, Instruction Memory, Data Memory, CPU, Register File, and Sign Extension. The Proposed design is developed by Verilog HDL and Simulated by Modelsim 6.4 c and Synthesized by Xilinx tool and proposed system implemented in FPGA Spartan 3 XC3S 200 TQ-144.

Directions of precision: George Graham’s instructions for his pendulum astronomical clocks

ABSTRACT In the 1720s two Jesuit astronomers working at the court of King João V of Portugal, in Lisbon, received several instruments produced by the best makers in London, Paris and Rome. With the crucial help of the Portuguese diplomatic network contacts with academies, savants and instrument makers were established, seeking technical advice and the best astronomical instruments available at the time. It was in this context that in April 1726 a set of Latin instructions accompanying pendulum clocks made by George Graham were dispatched from London to Lisbon. These unpublished instructions are now preserved in the papers of Giovanni Battista Carbone, one of these Jesuit astronomers, offering a significant window into the procedures and technical details involved in the setting, operation and transport of Graham’s astronomical clocks. In this paper, I will not only discuss this important document in the framework of Graham’s contributions to astronomy and horology, but also in the perspective of the search for accuracy.

OpenASAP: An affordable 3D printed atmospheric solids analysis probe (ASAP) mass spectrometry system for direct analysis of solid and liquid samples

Atmospheric Solids Analysis Probe (ASAP) mass spectrometry is a versatile technique allowing direct sampling of solid and liquid samples, but its adoption is limited due to the high cost of commercial ASAP systems. To address this, we present OpenASAP, an open-source ASAP system for mass spectrometers that can be fabricated for $20 or less using 3D-printing. Our design is readily adaptable to instruments from different manufacturers and can be produced with a variety of additive manufacturing techniques on consumer-grade 3D-printers. The probe allows for rapid sampling of solid and liquid samples without sample preparation, making it useful for high throughput screening, investigating spatial localization and function of analytes in biological samples, and incorporating mass spectrometry in instructional settings. We demonstrate its effectiveness by obtaining mass spectra of three natural product standards at levels as low as 10 ng/ml in liquid samples, and detecting these metabolites in microbial cultures that are difficult to analyze due to complex sample matrices or analyte properties. Furthermore, we demonstrate direct sampling of thin layer chromatography (TLC) spots of these cultures.

Secure Instruction and Data-Level Information Flow Tracking Model for RISC-V

With the proliferation of electronic devices, third-party intellectual property (3PIP) integration in the supply chain of the semiconductor industry and untrusted actors/fields have raised hardware security concerns that enable potential attacks, such as unauthorized access to data, fault injection and privacy invasion. Different security techniques have been proposed to provide resilience to secure devices from potential vulnerabilities; however, no one technique can be applied as an overarching solution. We propose an integrated Information Flow Tracking (IFT) technique to enable runtime security to protect system integrity by tracking the flow of data from untrusted communication channels. Existing hardware-based IFT schemes are either fine-, which are resource-intensive, or coarse-grained models, which have minimal precision logic, providing either control-flow or data-flow integrity. No current security model provides multi-granularity due to the difficulty in balancing both the flexibility and hardware overheads at the same time. This study proposes a multi-level granularity IFT model that integrates a hardware-based IFT technique with a gate-level-based IFT (GLIFT) technique, along with flexibility, for better precision and assessments. Translation from the instruction level to the data level is based on module instantiation with security-critical data for accurate information flow behaviors without any false conservative flows. A simulation-based IFT model is demonstrated, which translates the architecture-specific extensions into a compiler-specific simulation model with toolchain extensions for Reduced Instruction Set Architecture (RISC-V) to verify the security extensions. This approach provides better precision logic by enhancing the tagged mechanism with 1-bit tags and implementing an optimized shadow logic that eliminates the area overhead by tracking the data for only security-critical modules.

Guiding pre-service teachers’ visual attention through instructional settings: an eye-tracking study

In complex classroom situations, pre-service teachers often struggle to identify relevant information. Consequently, classroom videos are widely used to support pre-service teachers’ professional vision. However, pre-service teachers need instructional guidance to attend to relevant information in classroom videos. Previous studies identified a specific task instruction and prompts as promising instructions to enhance pre-service teachers’ professional vision. This mixed-methods eye-tracking study aimed to compare pre-service teachers’ visual attention to information relevant for classroom management in one of three instructional conditions. Participants viewed two classroom videos and clicked a button whenever they identified situations relevant to classroom management in the videos. They got either (1) a specific task instruction before video viewing (n = 45), (2) attention-guiding prompts during video viewing (n = 45), or (3) a general task instruction (n = 45) before video viewing as a control group. We expected a specific task instruction and prompts to better guide participants’ visual attention compared to a general task instruction before video viewing because both experimental conditions contained informational cues to focus on specific dimensions of classroom management. As both a specific task and prompts were assumed to activate cognitive schemata, resulting in knowledge-based processing of visual information, we expected the specific task instruction to have a similar attention-guiding effect as prompts during video viewing. Measurements were conducted on an outcome level (mouse clicks) and on a process level (eye tracking). Findings confirmed our hypotheses on an outcome level and in part on a process level regarding participants’ gaze relational index. Nevertheless, in a disruptive classroom situation, participants of the prompting condition showed better attentional performance than participants of the other conditions regarding a higher number of fixation and a shorter time to first fixation on disruptive students. Further qualitative analyses revealed that, when observing classroom videos without instructional guidance, pre-service teachers were less likely to identify disruptive situations in the video and more likely to attend to other situations of classroom management concerning the teachers’ action. We discuss advantages of both attention-guiding instructions for pre-service teacher education in terms of the economy of implementation and the salience of situations.

Mengenal Dan Memahami Notasi Penulisan Dalam Algoritma Pemrograman

Programming is a way that can be used in instructing computers to carry out certain tasks. Computer instruction means providing a set of commands that can be notated in a language understood by the computer. A program is a set or series of instructions to solve a problem. While the algorithm is a sequence of logical instructions in solving a problem that is arranged systematically. The purpose of this research is to facilitate the community, especially from students and students in the notation of writing programming algorithms on computer use. For the writing of this journal, the author uses the method of literature research among others by reading and studying books, articles, laws and other literature sources related to problems in this journal. From the results of the study, it can be shown that programming algorithms have three ways to notify the writing of programming algorithms, namely by means of descriptive sentences, flowcharts and pseudecode.

W-IQ: Wither-logic based issue queue for RISC-V superscalar out-of-order processor

The rise of RISC-V Instruction Set Architecture (ISA) motivates research on improving the performance of the RISC-V processors. Issue Queue (IQ) is an essential factor affecting the Instructions Per Clock (IPC) and delay. This paper proposes a Withering-logic Based Issue Queue (W-IQ) to improve IPC while reducing the delay. We further evaluate the IPC of W-IQ with the XCVU440 FPGA. The average running time of the SPEC2006 of the W-IQ is 34% shorter than that of the non-compaction IQ with position-based selection logic. Furthermore, for a 65 nm CMOS process, the W-IQ delay is 27% lower than compaction IQ with the serial age-aware selection logic.

On the condition of Setting Independence

Quantum mechanics predicts non-local correlations in spatially extended entangled quantum systems, and these correlations are empirically very well confirmed. This raises philosophical questions of how nature could be that way, prompting the study of purported completions of quantum mechanics by hidden variables. Bell-type theorems connect assumptions about hidden variables with empirical predictions for the outcome of quantum correlation experiments. From among these assumptions, the Setting Independence assumption has received the least formal attention. Its violation is, however, central in the recent discussion about super-deterministic models for quantum correlation experiments. In this paper, we focus on the non-local modal correlations in the GHZ experiment. We model the introduction of hidden variables in the form of instruction sets via structure extensions in the framework of Branching Space-Times. This framework allows us to show in formal detail how the introduction of non-contextual instruction sets results in a specific violation of Setting Independence; a similar result is derived for contextual instruction sets. Our discussion provides additional reasons for foregoing the introduction of local hidden variables, and for accepting non-local quantum correlations as a resource provided by nature.