Sequential Reading Research Articles

ANTHOLOGIA PALATINA 8 AS A HELLENISTIC BOOK OF POEMS: STRUCTURE AND MEANING IN GREGORY OF NAZIANZUS

Abstract This article analyses Anth. Pal. 8 as a Hellenistic book of poems, i.e. as a collection artfully arranged by an author-editor and not as a mere gathering of sepulchral epigrams devoid of any reflection or literary aspiration. In common with modern poetry books, Anth. Pal. 8 was conceived for linear sequential reading. A close study of its tripartite structure, of the thoughtful collocation of each piece and of their organizing principles in well-thought-out sequences reveals the ultimate eschatological meaning of the book. Finally, a comparative contextualization with other late antique poets indicates a late antique dating for the elaboration of this collection as such, whereas the strong numerological element and the religious transcendence sought by the distribution of the poems point to Gregory of Nazianzus himself as the author-editor of Anth. Pal. 8.

Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US.

Background Comparative performance between artificial intelligence (AI) and breast US for women with dense breasts undergoing screening mammography remains unclear. Purpose To compare the performance of mammography alone, mammography with AI, and mammography plus supplemental US for screening women with dense breasts, and to investigate the characteristics of the detected cancers. Materials and Methods A retrospective database search identified consecutive asymptomatic women (≥40 years of age) with dense breasts who underwent mammography plus supplemental whole-breast handheld US from January 2017 to December 2018 at a primary health care center. Sequential reading for mammography alone and mammography with the aid of an AI system was conducted by five breast radiologists, and their recall decisions were recorded. Results of the combined mammography and US examinations were collected from the database. A dedicated breast radiologist reviewed marks for mammography alone or with AI to confirm lesion identification. The reference standard was histologic examination and 1-year follow-up data. The cancer detection rate (CDR) per 1000 screening examinations, sensitivity, specificity, and abnormal interpretation rate (AIR) of mammography alone, mammography with AI, and mammography plus US were compared. Results Among 5707 asymptomatic women (mean age, 52.4 years ± 7.9 [SD]), 33 (0.6%) had cancer (median lesion size, 0.7 cm). Mammography with AI had a higher specificity (95.3% [95% CI: 94.7, 95.8], P = .003) and lower AIR (5.0% [95% CI: 4.5, 5.6], P = .004) than mammography alone (94.3% [95% CI: 93.6, 94.8] and 6.0% [95% CI: 5.4, 6.7], respectively). Mammography plus US had a higher CDR (5.6 vs 3.5 per 1000 examinations, P = .002) and sensitivity (97.0% vs 60.6%, P = .002) but lower specificity (77.6% vs 95.3%, P < .001) and higher AIR (22.9% vs 5.0%, P < .001) than mammography with AI. Supplemental US alone helped detect 12 cancers, mostly stage 0 and I (92%, 11 of 12). Conclusion Although AI improved the specificity of mammography interpretation, mammography plus supplemental US helped detect more node-negative early breast cancers that were undetected using mammography with AI. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Whitman and Destounis in this issue.

Keunggulan Tartil Al Qur’an melalui Metode Ummi di SMK Al Kautsar

Reading The Qur'an With Tartil Is An Obligation For Every Muslim. Therefore Muslims Are Required To Improve The Reading Of The Qur'an Well And Accurately With The Right Rhythm. Of Course Tartil Reading Requires A Method, And One Of These Methods Is The Ummi Method. This Method Includes Tartil Reading According To Tajweed Rules By Emphasizing The Love Of Systematic And Practical Reading Methods To Be Learned Applying Sequential Reading. This study discusses the advantages of reading Tartil Al-Qur'an Ummi method for Class X students of SMK Al Kauthar Jakarta. By Using Qualitative Research, This Study Tries To Introduce And Provide Knowledge About Practical And Systematic Methods In Learning To Read The Qur'an. The Main Data Sources Of This Study Are Islamic Religious Education Teachers And Religious Teachers. Primary Data sources from Reference Book of ummi method secondary research include previous research Data, bibliography Book of Ummi method. Data collection techniques the results of this study are the advantages of tartil Al quran through the method of Ummi diSMK Al kautsar Jakarta in increasing the quality in reading the quran is located from the quality system, a simple system, easy to understand and quality. There is also a comparison of some of the same methods used to learn to read the quran but don’t same with ummi method

MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying

LSM-based key-value stores have been leveraged in many state-of-the-art data-intensive applications as storage engines. As data volume scales up, a cost-efficient approach is to deploy these applications on hybrid cloud storage with hot/cold separation, which splits the LSM-tree into two parts and thus brings new challenges on how to split and how to close the significant performance gap between these two parts. Existing LSM-tree key-value stores mainly focus on the optimizations of local storage, which incurs sub-optimal performance when directly applied to hybrid storage. In this paper, we present MirrorKV for efficient compaction and querying on hybrid cloud storage. First, based on the capacities of fast and slow cloud storage, MirrorKV vertically separates hot/cold data of different levels stored in different cloud storage with different compaction mechanisms. To avoid compaction in slow storage being the bottleneck of the write path, MirrorKV proposes a novel virtual split to only compact the metadata during the compaction, which postpones the actual compaction until it reaches deep enough levels. Second, to reduce accessing slow storage during querying, MirrorKV horizontally separates keys and values into two mirrored LSM-trees to differentiate caching priorities; the maintained tree structures preserve the data locality for efficient sequential reading without incurring the overhead of the traditional key-value separation solutions. Finally, MirrorKV leverages cached data to guide the compaction where the hot data is retained in the fast storage while the cold data is compacted to deeper levels in slow storage. Compared with RocksDB-cloud, MirrorKV achieves 2.4× higher random insertion throughput, 29% higher random read throughput, and 99% less compaction time.

Practice patterns in reporting interstitial lung abnormality at a tertiary academic medical center

PurposeInterstitial lung abnormality (ILA) is a common finding on chest CTs and is associated with higher all-cause mortality. The 2020 Fleischner Society position paper standardized the terminology and definition of ILA. Despite these published guidelines, the extent to which radiologists use this term is unknown. We evaluated practice patterns for identification of ILAs among radiologists at a tertiary academic medical center. MethodsIn this retrospective review, we identified 157 radiology reports between January 1, 2010 through December 31, 2021 containing the phrase “interstitial lung abnormality” or “interstitial abnormality”. After exclusions, 125 CT scans were reviewed by thoracic-trained radiologists using the sequential reading method. ResultsSeventy-seven (62%) patients were found to have ILA (69% subpleural fibrotic, 19% subpleural non-fibrotic, and 6% non-subpleural), nine (7%) were equivocal for ILA and 39 (31%) had no ILA. The term ILA was used exclusively by thoracic-trained radiologists except for two cases. Use of the term ILA has rapidly increased since the position paper publication (none from 2010–2017, one case in 2018, 20 cases in 2019, 41 cases in 2020, and 73 cases in 2021), and cases were typically very mild (1–25% of the lung). ConclusionWhile there has been increased use of the term ILA among thoracic-trained radiologists, non-thoracic radiologists have essentially not begun to use the term. Almost one-third of cases labeled ILA on clinical reads were re-classified as not having ILA on research reads.

Efectos de una instrucción estratégica-autorregulada en el proceso de comprensión y autoeficacia lectora del alumnado de educación primaria

Self-regulation is an important factor in achieving successful reading comprehension. This study analyses the effects of a self-regu¬lated strategy instruction programme versus a control group on reading comprehension performance, time spent applying strategies during the reading comprehension process and reading self-efficacy. The programme com¬prised two conditions (condition 1 and condi¬tion 2) in which the teachers provided direct and explicit teaching of self-regulation strategies before, during and after the reading process. In condition 2, explicit instruction in reading self-efficacy was added. In the control condi¬tion, teachers provided traditional instruction based on reading aloud, sequential reading, text questions and the use of dictionaries. A total of 180 Spanish primary school students from eight different Year 5 and 6 classes (aged 10-12 under the Spanish education system) were either assigned to one of the two experi¬mental conditions (Condition 1: N = 47. Con¬dition 2: N = 47) or to the control condition (N = 86). Pre-test/post-test/follow-up measures were taken (six weeks after the intervention) of reading performance, reading self-effica¬cy and time spent applying self-regulation strategies before, during and after reading through an online assessment. The results showed that the instructional programme had a positive and significant effect in the two ex¬perimental conditions compared to the control group in terms of reading performance and time spent applying self-regulation strategies before and after the reading process. Howev¬er, no statistically significant differences were observed in the time spent applying strategies during reading and in reading self-efficacy, neither between the two experimental condi¬tions nor between the experimental conditions and the control condition. The implications of these results and their contribution to educa¬tional practices are discussed.

Decompressor for hardware applications

The use of lossless compression in the application specific computers provides such advantages as minimized amount of memory, increased bandwidth of interfaces, reduced energy consumption, and improved self-testing systems. The article discusses known algorithms of lossless compression with the aim of choosing the most suitable one for implementation in a hardware-software decompressor. Among them, the Lempel-Ziv-Welch (LZW) algorithm makes it possible to perform the associative memory of the decompressor dictionary in the simplest way by using the sequential reading the symbols of the decompressed word. The analysis of the existing hardware implementations of the decompressors showed that the main goal in their development was to increase the bandwidth at the expense of increasing hardware costs and limited functionality. It is proposed to implement the LZW decompressor in a hardware module based on a microprocessor core with a specialized instruction set. For this, a processor core with a stack architecture was selected, which is developed by the authors for the tasks of the file grammar analyzing. Additional memory block for the dictionary storing and an input buffer which converts the byte stream of the packed file into a sequence of unpacked codes are added to it. The processor core instruction set is adjusted to both speed up decompression and reduce hardware costs. The decompressor is described by the Very high-speed integral circuit Hardware Description Language and is implemented in a field programable gate array (FPGA). At a clock frequency of up to two hundred megahertz, the average throughput of the decompressor is more than ten megabytes per second. Because of the hardware and software implementation, an LZW decompressor is developed, which has approximately the same hardware costs as that of the hardware decompressor and has a lower bandwidth at the costs of flexibility, multifunctionality, which is provided by the processor core software. In particular, a decompressor of the Graphic Interchange Format files is implemented on the basis of this device in FPGA for the application of dynamic visualization of patterns on the embedded system display

Short-horizon acceleration-predictive control for reducing lateral seismic inertia forces of inelastic frame structures using semi-active fluid viscous dampers

Semi-active control systems effectively improve the resilience of civil structures when subject to dynamic vibrations due to their ability to change their damping properties. In the case of semi-active fluid viscous dampers (SAFVD), the damping coefficient quantity varies according to the tradeoff between the need to increase the energy dissipation capabilities (i.e., increasing the damping coefficient) and the need to decrease the applied shear forces (i.e., reducing the damping coefficient). The operation of a SAFVD device is similar to that of a passive fluid viscous damper except that, based on the status of the control valve, it can deliver damping at two distinct levels (two-stage) or over a wide range between an upper and lower bound (continuously adjustable). This paper employs a continuously adjustable SAFVD assembly and develops its optimal command voltage change at each time step, which regulates the valve that determines the fluid passing through the external path. The control strategy uses total acceleration measurement as the system's closed-loop feedback and utilizes the Kalman filter model to predict the sequential acceleration reading to cater to time delays. The solution derives from a short‐horizon problem whose objective is reducing the difference between the lateral seismic inertia forces and the SAFVD forces, thus, mitigating the columns’ resisting forces. The case study presented in this paper showcases the effectiveness of the SAFVDs in improving the inelastic earthquake response of a 10-story frame structure.

Accessible Bar Charts Through Textual Description Templates

Data charts are very prevalent in everyday life in different contexts, from economics to politics. However, people with blindness and low vision do not have easy access to this information since they use screen reader software. This software does not extract the information available graphically, but only the chart legend and the text. Among the solutions proposed in the literature, there are crowdsourcing techniques when a person is responsible for interpreting the chart, which can cause bias in the chart’s interpretation. To solve this problem, we proposed textual description templates for simple and grouped bar charts to inform the chart data in a standardized way to users, excluding the interpretation bias. The methodology of this work was divided into three stages: a definition of templates for textual description and testing with 30 participants; the application of textual description templates in an assistive technology tool and testing with 45 participants; the validation of the results found through interviews and tests with 3 specialists. We have iteratively refined templates generated at each stage with users tests, and we carried out quantitative and qualitative analyses. An assistive technology tool, ChartVision, was developed to consume the templates. Finally, we interviewed a specialist about how he would explain chart materials to blind students at university, and we carried out a validation of the final templates with two other professionals from the health and education areas who deal with people with blind people in their daily lives. The main contributions are three textual description bar charts templates: simple bar for applications with sequential reading or reading on-demand, grouped bar for applications with sequential reading, and grouped bar for applications on-demand. The secondary contribution is ChartVision. Other findings include considerations about the synthetic voice used in the tests, expected characteristics for a better understanding of the chart, and interaction ways to access the information.

Nanopores as versatile single-molecule tools: From DNA turbines to protein sequencing.

Nanopores offer ample opportunities for studying single biomolecules. I will present some recent examples of nanopore research from my lab: (1) DNA origami turbines powered by nanoscale flow. We demonstrated driven rotary motion of a nanoscale DNA origami turbine which harnesses energy from a water/ion flow generated by a static chemical or electrical potential gradient in a solid-state nanopore. Sustained unidirectional rotary motion of up to 20 revolutions/s were observed. These artificial nano-engines operate autonomously in physiological conditions, converting energy into useful mechanical work. (2) Nanopore-based sequential reading of peptides. We demonstrated a nanopore-based single-molecule peptide reader capable of reliably detecting single amino-acid substitutions within individual peptides. A peptide is linked to a DNA molecule and sequentially pulled through a biological nanopore by a DNA helicase in single amino-acid steps. Stepping ion-current signals enable discrimination of single-amino-acid substitutions in single reads. Notably, we demonstrated the capability to ‘rewind’ peptide reads, obtaining indefinitely many independent reads of the same molecule, yielding an undetectably low read errors. Recently, we expanded this concept to discriminating single post-translational modifications within peptides of mixed charge. These proof-of-concept experiments constitute a promising basis for the development of a single-molecule protein sequencer.

Соотношение качества выполнения творческого задания у студентов-актеров с уровнем невротизации и выбором копинг-стратегий

The study aimed to reveal the relationship between indicators of performing a creative task (objective and subjective) and the level of neuroticism and preferred coping strategies among student actors. As a creative task, students were offered an original model that is close to the professional activity of actors and contains tasks of two levels of complexity: sequential expressive reading of straight (simple task) and inverted text (difficult task) at equal intervals (1 minute). The number of words read per minute was an objective assessment of tasks. A subjective (expert) assessment of the reading quality was carried out by the course teacher on a 10-point scale according to the following parameters: diction, artistry and content. Firstly, psychological testing of neuroticism and preferred coping strategies was conducted. It was revealed that with an increase in the task complexity, the teacher’s assessments shifted from the creative, artistic component of the actor’s activity to the technical one. There were no correlations between the level of neuroticism, coping strategies of actors and the teacher’s scores for the creative task. The most popular coping were escape-avoidance and confrontation, and the most unpopular — planning and self-control. Thus, the study of acting students showed that neither the level of neuroticism nor the preferred coping strategies affect the teacher’s assessment for a creative task. Statistically, only an objective increase in the level of complexity of this task was associated with the teacher’s assessment. This result emphasizes the need for an individual approach in creative disciplines, as well as changing the criteria for evaluating students’ creative skills when performing tasks of different levels of complexity.

The Effect of Digital Learning of Historical Comics on Students‘ Critical Thinking Skills

Comics provide a visual, inventive, and sequential reading experience for students learning on their own. Both comics and history present narratives in chronological order. Students pay less attention to reading historical literature, requiring them to put more emphasis on their thinking skills. The author intends to determine how historical comic learning affects students’ critical thinking skills. This quasi-experimental mixed-method design included pre- and post-tests and interview group. A total of 184 students were divided evenly between two groups, each consisting of N=92 members: a control group and an experimental group. While members of the control group were taught to read textbooks through online instruction, members of the experimental group read historical comics learning media. The N-Gain test showed the treatment group’s critical thinking skills was 61.8% (Moderate) and the control group’s was 38.2% (Low). The ANOVA findings demonstrated a statistically significant relationship between historical comics learning media and critical thinking skills (F = 49.749; p = 0.000). The results indicate that using historical comics makes reading material more enjoyable, adds intrigue to stories, and improves students’ attention. In order to maximize critical thinking students’ skills, it is important to pay greater attention to the provision of engaging, interactive, and appropriate learning media.

Reflecting Pictorial Language Design for Tactile Pictogram (Tactogram)

This paper is intended to reflect on an appropriate pictorial language design for the tactogram. The research method used document study analysis based on the three previous studies. The data included the results of designing pictorial language using Tabrani's 'ancient visual language' theories. Tabrani revealed how to read stories in pictures through translating the drawn multiple images in a panel as motion descriptions of the object. The author assumed the descriptive image system as a suitable pictorial language concept in designing tactogram for the visually impaired as orientation and mobility system in train stations. In general, if the visually impaired still cannot understand the meaning of the tactogram symbols simultaneously with their sequential reading principle, then the pictorial language is not optimal yet. It indicates some errors in designing its system because it does not meet the visually impaired ability and habits to read tactile graphic-based information.

Comparisons between artificial intelligence computer-aided detection synthesized mammograms and digital mammograms when used alone and in combination with tomosynthesis images in a virtual screening setting

PurposeTo compare the reader performance of artificial intelligence computer-aided detection synthesized mammograms (AI CAD SM) with that of digital mammograms (DM) when used alone or in combination with digital breast tomosynthesis (DBT) images.Materials and methodsThis retrospective multireader (n = 4) study compared the reader performances in 388 cases (84 cancer, 83 benign, and 221 normal or benign cases). The overall accuracy of the breast-based assessment was determined by four radiologists using two sequential reading modes: DM followed by DM + DBT; and AI CAD SM followed by AI CAD SM + DBT. Each breast was rated by each reader using five-category ratings, where 3 or higher was considered positive. The area under the receiver-operating characteristic curve (AUC) and reading time were evaluated.ResultsThe mean AUC values for DM, AI CAD SM, DM + DBT, and AI CAD SM + DBT were 0.863, 0.895, 0.886, and 0.902, respectively. The mean AUC of AI CAD SM was significantly higher (P < 0.0001) than that of DM. The mean AUC of AI CAD SM + DBT was higher than that of DM + DBT (P = 0.094). A significant reduction in the reading time was observed after using AI CAD SM + DBT when compared with that after using DM + DBT (P < 0.001).ConclusionAI CAD SM + DBT might prove more effective than DM + DBT in a screening setting because of its lower radiation dose, noninferiority, and shorter reading time compared to DM + DBT.

Frequency-Coded and Programmable Synchronous Electromagnetic Encoders Based on Linear Strips

This letter presents electromagnetic encoders where encoding is achieved by considering four different inclusions, particularly linear strips of different length, etched at the predefined positions of the encoder chain, and transversely oriented with regard to the chain axis. Since the length of the strips determines their resonance frequencies, it follows that the 2-bits per inclusion, corresponding to the four possible different states (strip lengths), are frequency-coded. Thus, the reader is a microstrip line with a series gap fed by four harmonic (carrier) signals tuned to the resonance frequencies of the four considered encoder strips. By encoder motion over the reader, each carrier signal is amplitude modulated, with envelope functions exhibiting a peak each time a strip of the encoder chain tuned to the resonance frequency of the considered carrier signal crosses the axis of the reader line. The functionality of the system is experimentally validated in this letter. It is also shown that the encoders can be programmed by considering identical strips and by cutting them appropriately, according to the desired code. The proposed encoders are intrinsically synchronous. Such encoders are useful for measuring displacements and velocities, as well as for the implementation of synchronous near-field chipless radiofrequency identification tags with sequential bit reading.

Assessing Detection Accuracy of Computerized Sonographic Features and Computer-Assisted Reading Performance in Differentiating Thyroid Cancers.

For ultrasound imaging of thyroid nodules, medical guidelines are all based on findings of sonographic features to provide clinicians management recommendations. Due to the recent development of artificial intelligence and machine learning (AI/ML) technologies, there have been computer-assisted detection (CAD) software devices available for clinical use to detect and quantify the sonographic features of thyroid nodules. This study is to validate the accuracy of the computerized sonographic features (CSF) by a CAD software device, namely, AmCAD-UT, and then to assess how the reading performance of clinicians (readers) can be improved providing the computerized features. The feature detection accuracy is tested against the ground truth established by a panel of thyroid specialists and a multiple-reader multiple-case (MRMC) study is performed to assess the sequential reading performance with the assistance of the CSF. Five computerized features, including anechoic area, hyperechoic foci, hypoechoic pattern, heterogeneous texture, and indistinct margin, were tested, with AUCs ranging from 0.888~0.946, 0.825~0.913, 0.812~0.847, 0.627~0.77, and 0.676~0.766, respectively. With the five CSFs, the sequential reading performance of 18 clinicians is found significantly improved, with the AUC increasing from 0.720 without CSF to 0.776 with CSF. Our studies show that the computerized features are consistent with the clinicians’ findings and provide additional value in assisting sonographic diagnosis.

High Data Capacity Chipless RFID Tag Based on Time-Domain Scattering Modulation

In this communication, we present a low-cost chipless radio frequency identification (RFID) tag with a high data capacity and a wide reading range based on time-domain scattering modulation. The proposed tag consists of a slotted square patch antenna with a switchable resistor and a mechanically driven slider etched with a barcode-like metallic wire array. Encoding is achieved by the presence and absence of the metallic wire on the slider, and tag identification is obtained by sequential bit reading. A special encoding strategy is applied to improve its insensitivity to the motion velocity of the slider. For a proof-of-concept demonstration, a prototype designed to operate at 2.1 GHz was fabricated and measured, and the experimental results verified the effectiveness. Compared with the methods based on time-domain reflectometry, spectral signature, and resonator-based sequential encoding, the proposed approach provides a substantially enhanced data capacity within a narrow spectrum without sacrificing its reading range and tag size, due to the design of nonresonant code cell. Such a mechanically triggered chipless RFID tag exhibits promising potentials in some practical applications, such as personal ID and credit cards.

Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level.

PurposeThis study evaluated how artificial intelligence-based computer-assisted diagnosis (AI-CAD) for breast ultrasonography (US) influences diagnostic performance and agreement between radiologists with varying experience levels in different workflows.MethodsImages of 492 breast lesions (200 malignant and 292 benign masses) in 472 women taken from April 2017 to June 2018 were included. Six radiologists (three inexperienced [<1 year of experience] and three experienced [10-15 years of experience]) individually reviewed US images with and without the aid of AI-CAD, first sequentially and then simultaneously. Diagnostic performance and interobserver agreement were calculated and compared between radiologists and AI-CAD.ResultsAfter implementing AI-CAD, the specificity, positive predictive value (PPV), and accuracy significantly improved, regardless of experience and workflow (all P<0.001, respectively). The overall area under the receiver operating characteristic curve significantly increased in simultaneous reading, but only for inexperienced radiologists. The agreement for Breast Imaging Reporting and Database System (BI-RADS) descriptors generally increased when AI-CAD was used (κ=0.29-0.63 to 0.35-0.73). Inexperienced radiologists tended to concede to AI-CAD results more easily than experienced radiologists, especially in simultaneous reading (P<0.001). The conversion rates for final assessment changes from BI-RADS 2 or 3 to BI-RADS higher than 4a or vice versa were also significantly higher in simultaneous reading than sequential reading (overall, 15.8% and 6.2%, respectively; P<0.001) for both inexperienced and experienced radiologists.ConclusionUsing AI-CAD to interpret breast US improved the specificity, PPV, and accuracy of radiologists regardless of experience level. AI-CAD may work better in simultaneous reading to improve diagnostic performance and agreement between radiologists, especially for inexperienced radiologists.

Random and Sequence Workload for Web-Scale Architecture for NFS, GlusterFS and MooseFS Performance Enhancement

The problem in the data storage method that can support the data processing speed in the network is one of the key problems in big data. As computing speed increases and cluster size increases, I/O and network processes related to intensive data usage cannot keep up with the growth rate and data processing speed. Data processing applications will experience latency issues from long I/O. Distributed data storage systems can use Web scale technology to assist centralized data storage in a computing environment to meet the needs of data science. By analyzing several distributed data storage models, namely NFS, GlusterFS and MooseFS, a distributed data storage method is proposed. The parameters used in this study are transfer rate, IOPS and CPU resource usage. Through testing the sequential and random reading and writing of data, it is found that GlusterFS has faster performance and the best performance for sequential and random data reading when using 64k block data storage. MooseFS uses 64k power storage blocks to obtain the best performance in random data read operations. Using 32k data storage blocks, NFS achieves the best results in random writes. The performance of a distributed data storage system may be affected by the size of the data storage block. Using a larger data storage block can achieve faster performance in data transmission and performing operations on data.

Using the Internet of Things Mobile to Keep the User’s Back Straight While Sitting

Spine and neck pain is the most common type of pain experienced by people whose work requires sitting for long hours during the day. Therefore, many of them resort to dealing with this matter in several ways, and these methods differ in their effectiveness and negative effects. In this paper, we designed a device to alert the user to the need to adjust their sitting and to generate an alert when they are sitting inappropriately. When trying this device, the results were promising and accurate in terms of the results of the sequential reading of the movement of the flexible sensor, which helps the system to give alerts at the right time in the event of curvature of the spine, in addition to the ease of use of this device.