Digital Section Research Articles

The Status of Liver Margin in Perihilar Cholangiocarcinoma: A Multicenter Study.

This study aimed to investigate the prevalence and distribution of carcinoma in the liver margin (LM) of resected perihilar cholangiocarcinoma (pCCA) and establish a method for LM examination. LM is the largest margin in resected pCCA with undefined status and assessment method. 227 pCCA cases underwent major hepatectomy were divided into a discovery cohort (n=101) assessed using serial whole-mount digital large sections (WDLS) combined with small sections, and a control cohort (n=126) assessed using only small sections. The LM R1 resection rate was 38.6% (39/101) in the discovery cohort and 5.6% (7/126) in the control cohort. WDLS identified more LM R1 cases compared to the small section in the discovery cohort (38.6% vs. 5.9%, P<0.001). R0 patients in the discovery cohort had better overall survival and recurrence-free survival than those in the control cohort (both P<0.05). Additionally, 95% of carcinoma was found within 20mm of the proximal ductal margin (DM). A proximal DM distance of<5mm was an independent risk factor for LM R1 resection. Patients with which are more likely to experience R1 compared to those with ≥ 5mm (P<0.001). Positive LM was the significant cause for R1 resection of pCCA and the utilization of WDLS improved the diagnostic accuracy of LM. An examination methodology was established, highlighting the necessity of examining LM within a 20mm radius around the proximal DM, especially in patients with a proximal DM of<5mm.

Paper and Technology Interaction in Production of Arabic Poetry: "Techno-Paper Poetry" Hypothesis as an Example

Since the emergence of the first signs of digital poetry in the early 1990s, a gap has been formed between two contrasting worlds: the physical (real) world and the virtual (digital) world. As time advanced with the advent of digital literature, the gap widened, leading to a profound intersection between individuals from both worlds, especially among the writers. Two contrasting tones, which are never converging, emerged: the tone of the traditional paper-based writer, who criticizes digital literature as a product of machines, claiming that those who believe in it lack the characteristics of true creativity and have escaped to the virtual world to hide their literary lack. On the other hand, the tone of the digital writer, who calls paper-based literature as remnants of the past, considering it inaccessible and it is impossible to interact with a defunct literature. These two tones had a significant impact on hindering communication with the digital literary system, resulting in its slow progress in the public cultural sphere and academic space. Thus, bridging the gap between the two worlds became essential by creating an intermediate transitional zone that represents a reassurance document for poets from the two opposing worlds, and serving that both forms of literature complete one another. The concept of "Techno-Paper Poetry" was introduced in 2019. It is based on two aspects: one being paper-based and the other digital. It involves a portion of the literature, which is written on paper, while the other is digitized and distributed online. Access to the digital section is achieved through the paper-based section by scanning the barcode or QR code using a dedicated application called "Aquarium Reader" installed on smart tablets. Based on the aforementioned, it becomes crucial to establish a literary roadmap to bridge the gap between these two worlds and legitimize this style of poetry as an active step towards pure digitization.

Развитие инновационных цифровых видов спорта в образовательных организациях Донецкой Народной Республики

This article examines the stages of formation and development of innovative digital sports sections, sports programming ones in particular, in the Donetsk People’s Republic in 2022–2024. The process of creating innovative digital sports sections in student sports clubs is shown in order to popularize and attract talented youth to the field of digital technologies. The need for athletes-programmers and cybersportsmen for realization of the full technological sovereignty of our country is noted.

Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning

BackgroundThyroid cancer is a common thyroid malignancy. The majority of thyroid lesion needs intraoperative frozen pathology diagnosis, which provides important information for precision operation. As digital whole slide images (WSIs) develop, deep learning methods for histopathological classification of the thyroid gland (paraffin sections) have achieved outstanding results. Our current study is to clarify whether deep learning assists pathology diagnosis for intraoperative frozen thyroid lesions or not.MethodsWe propose an artificial intelligence-assisted diagnostic system for frozen thyroid lesions that applies prior knowledge in tandem with a dichotomous judgment of whether the lesion is cancerous or not and a quadratic judgment of the type of cancerous lesion to categorize the frozen thyroid lesions into five categories: papillary thyroid carcinoma, medullary thyroid carcinoma, anaplastic thyroid carcinoma, follicular thyroid tumor, and non-cancerous lesion. We obtained 4409 frozen digital pathology sections (WSI) of thyroid from the First Affiliated Hospital of Sun Yat-sen University (SYSUFH) to train and test the model, and the performance was validated by a six-fold cross validation, 101 papillary microcarcinoma sections of thyroid were used to validate the system’s sensitivity, and 1388 WSIs of thyroid were used for the evaluation of the external dataset. The deep learning models were compared in terms of several metrics such as accuracy, F1 score, recall, precision and AUC (Area Under Curve).ResultsWe developed the first deep learning-based frozen thyroid diagnostic classifier for histopathological WSI classification of papillary carcinoma, medullary carcinoma, follicular tumor, anaplastic carcinoma, and non-carcinoma lesion. On test slides, the system had an accuracy of 0.9459, a precision of 0.9475, and an AUC of 0.9955. In the papillary carcinoma test slides, the system was able to accurately predict even lesions as small as 2 mm in diameter. Tested with the acceleration component, the cut processing can be performed in 346.12 s and the visual inference prediction results can be obtained in 98.61 s, thus meeting the time requirements for intraoperative diagnosis. Our study employs a deep learning approach for high-precision classification of intraoperative frozen thyroid lesion distribution in the clinical setting, which has potential clinical implications for assisting pathologists and precision surgery of thyroid lesions.

Teacher Digital Skill After Covid 19 In Public Senior High School

The purpose of this study was to determine the description of digital skills owned by teachers and compare them based on school type. This research uses mixed method with The Explanatory Sequential Design type. This research uses purposive sampling technique. The sample of this research is a teacher at one of the schools selected based on the type of school, namely SMA, SMK and MAN. Kruskal-Wallish test and Mann Whittney test were used to determine the differences in digital skills owned by teachers. The results showed that the digital skills possessed by teachers based on the type of school, it is known that there are differences in digital skills possessed. The digital skills possessed by teachers are included in the high and very high categories and when compared in each school it is known that there is no difference between the digital skills of SMK and SMA, SMK and MAN teachers. Then in the qualitative analysis in the digital skill indicator section, the teacher has done very well in an effort to carry out his job as a teacher, but the aspects of Digital Content Creation and safety need to be improved. The real implication of this research is the ability for teachers to apply digital skills such as knowledge and attitudes in a confident, critical and responsible manner within the specified context as required

Design of a very low power 12 bits, 40 MS/s ADC based on a time-interleaved SAR architecture

The paper describes a new figure of merit reachable in terms of very low power dissipation for a 12 bit, 40 MS/s Analog to Digital Converter in a 65 nm CMOS process with 1 V power supply. A differential time interleaved successive approximations register architecture is used. Each individual ADC channel is optimized with regard to power consumption hence interleaving 28 ADC channels in an analog memory like method, the total power consumption is only 280 μW including all the reference voltage drivers, the clock management and the digital sections. The total layout area of this converter is 0.87 mm2.

Journalistic Professionalism in a Time of Paradoxes: Ntv Online and “Alternative Voice” in Bangladesh

ABSTRACT This article explores the specific work mechanisms journalists use to promote the ideology of good and independent journalism at the online news services of Ntv station in Bangladesh. Along with the journalistic scholarships on issues of heightened state surveillance on broadcast and online communications by the hybrid regime and its relation to broader questions of how dissidents and alternative voices struggle to gain visibility in the context of media freedom and democracy in Bangladesh, the theoretical framework of the political economy of communication and concepts of alternative voice are employed in this study. It scrutinizes the implications of state control measures upon journalistic praxis and examines how journalists at Ntv Online – a digital section of this television station, perceive the “alternative voice” to become the place for public deliberation. Built on field-based case study research and in-depth interviews with reporters and editors at Ntv Online, this study reveals that Ntv Online is materializing the concept of “alternative voice” by opening up access to media production. This is empowering those who are involved in news-making processes. At a professional level, this study aimed to contribute to the online news-making process while capturing the experiences of conflict and challenges journalists face.

AI Empowered of Advancements in Microbial and Tumor Cell Image Labeling for Enhanced Medical Insights

The traditional diagnosis model of tumor pathology depends on the experience of the doctor, which is inevitably subjective. With the rapid development of modern medical imaging, medical imaging technology has formed a medical imaging system composed of UI, CT, CR, DR, MRI, PET, PET-CT, digital subtraction angiography and PACS by traditional single ordinary X-ray and angiography. The continuous enrichment of imaging technology has changed medical imaging from "auxiliary examination means" to the most important clinical diagnosis and differential diagnosis method in modern medicine. With the application of digital scan sections in clinicopathology, the computer technology of artificial intelligence (AI) assisted diagnosis has developed rapidly in the analysis of tumor tissue images. This paper summarizes the application progress of AI in tumor pathology, and describes the exploration and application of AI in the field of quantitative analysis of histopathological molecular markers closely related to clinical diagnosis and treatment in recent years, so as to provide useful reference for the development of tumor intelligent diagnosis and treatment model.

A 87 dB SNR and THD+N 0.03% HiFi Grade Audio Preamplifier

This paper presents a significant contribution to high-fidelity audio technology through the comprehensive design and implementation of an advanced audio-grade preamplifier integrated with a high-performance digital-to-analog converter (DAC). The versatility of the digital section allows seamless integration of audio sources from Universal Serial Bus (USB), Bluetooth, or Sony-Philips Digital interface (SPDIF). In addition, the preamplifier accommodates various analog sources, offering flexibility to users. The unique architecture features an innovative resistor network-based DAC and precision components in the analog section, paving the way for achieving unparalleled audio fidelity. The measured distortion values are remarkably low, with a total harmonic distortion plus noise (THD+N) of only 0.03%. Furthermore, the system exhibits a signal-to-noise ratio (SNR) of 87 dB, comparable to industry benchmark. The hardware design sections went into meticulous details, providing an in-depth exploration of each block of the project. The inclusion of test and measurement data from the actual prototype enhances the credibility of the proposed work. This research not only showcases the theoretical operation of the preamplifier and DAC stage but also validates the practical implementation through many rounds of testing and validation. Our proposed work contributes to the field of high-fidelity audio by presenting a novel solution that is comparable to industry standards. The design’s adaptability to many different audio sources, coupled with robust performance metrics, positions it as a benchmark in the field of audio reproduction. The measurement results and findings presented in this paper are poised to influence future advancements in HiFi audio technology.

An 8 bit-ENOB Sampling-rate Reconfigurable Asynchronous SAR ADC with Metastability Watchdog Circuit for Activity-driven Multi-Channel CMOS Readout ASICs for Space Applications

This article presents an innovative architecture and design of an 8-bits Effective-Number-of-Bits (ENOB) Asynchronous Successive-Approximation-Register (ASAR) Analog-to-Digital-Converter (ADC), aiming at activity-driven multi-channel Complementary-Metal-Oxide-Semiconductor (CMOS) readout Application-Specific-Integrated-Circuits (ASICs) for imaging and spectroscopic applications in space field. The proposed ADC needs only a single low duty-cycle clock signal ‘CLKSampling’ to initiate the conversion process and generates all other required clock signals internally. Unlike conventional ASAR ADCs, this ADC makes use of a unique rising edge only variable delay-cell to introduce desired delay values to the internally generated clock signal. In addition, the ADC features sampling-rate (fs)-reconfigurability, from typical 40 kHz to 167 kHz, with a proportional power consumption. Also, the proposed architecture is flexible with respect to the time-period and duty-cycle of the ‘CLKSampling’ signal, that can be tailored keeping in view the primary requirements of the desired applications. Moreover, the proposed design is equipped with a simple metastability watchdog circuitry. Fabricated in a 0.35 µm CMOS process at 3.3 V supply, the ADC secures a measured ENOB, and Signal-to-Noise-and-Distortion-Ratio (SNDR) of 7.76-bits, and 48.47 dB, respectively at the typical fs of 40 kHz. Measured Integral-Non-Linearity (INL), and Differential-Non-Linearity (DNL) are within one LSB. The ADC normalized figure-of-merit (FoMWN) - proposed to fairly compare high voltage-based ADCs with low voltage-based ADCs - is 476 fJ/C-step at its maximum fs with all the sections of the ADC operating at 3.3 V. The FoMWN improves to 261.7 fJ/c-step and 243 fJ/c-step with the digital section and delay-cell operated at 1.2 V with and without level-shifters power contribution, respectively without any performance deterioration.

UNVEILING KNOWLEDGE HORIZONS: TRACING THE TAPESTRY OF EDUCATIONAL MEDIA IN INDIA

This paper navigates the intricate evolution, profound impact, challenges, and future trajectories of educational media within India's dynamic educational landscape. Framed under the title "Unveiling Knowledge Horizons: Tracing the Tapestry of Educational Media in India," this study begins by delving into the definition and scope of educational media, highlighting its intrinsic significance in the unique Indian context. Throughout the research, the historical evolution of educational media unfolds, encompassing ancient educational practices and their transformation during the British colonial era. The exploration continues to early forms of educational media, including traditional tools and the emergence of audio-visual aids. Subsequently, the paper delves into the radio and television era, shedding light on the pivotal role of these mediums in education outreach. The digital transformation section chronicles the advent of computers, CD-ROMs, and the internet's transformative role in disseminating educational content. The analysis of modern educational media initiatives, such as SWAYAM and the ascendancy of EdTech giants like Byju's and Unacademy, underscores the paradigm shift in learning approaches. Challenges and opportunities presented by digital divides, quality assurance, and teacher training are considered, while innovative approaches like virtual and augmented reality and gamification are explored for their potential to enhance engagement.

Leaking Wireless ICs via Hardware Trojan-Infected Synchronization

We propose a Hardware Trojan (HT) attack in wireless Integrated Circuits (ICs) that aims at leaking sensitive information within a legitimate transmission. The HT is hidden inside the transmitter modulating the sensitive information into the preamble of each transmitted frame which is used for the synchronization of the transmitter with the receiver. The data leakage does not affect synchronization and is imperceptible by the inconspicuous nominal receiver as it does not incur any performance penalty in the communication. A knowledgeable rogue receiver, however, can recover the data using signal processing that is too expensive and impractical to be used during run-time in nominal receivers. The HT mechanism is designed at circuit-level and is embedded entirely into the digital section of the RF transceiver having a tiny footprint. The proposed HT attack is demonstrated with measurements on a hardware platform. We demonstrate the stealthiness of the attack, i.e., its ability to evade defenses based on testing and run-time monitoring, and the robustness of the attack, i.e., the ability of the rogue receiver to recover the leaked information even under unfavorable channel conditions.

Pengembangan Kualitas Konten Informasi Display Masjid Berbasis Web

Digital transformation is a necessity that must be faced by various fields, including the religious field. The mosque, as a place of worship that has religious activities, needs to provide quality information to the community around the mosque, especially the congregation praying five times a day at the mosque. The Nurul Huda Mosque is located in Lowayu Village, Dukun Sub-district, Gresik Regency. Until now, information on religious activities has only been conveyed through loudspeakers, so the information conveyed is limited to certain times, which is likely to have many congregations and the community around the mosque who do not know about it. It is necessary to improve the quality of information through web-based information management training using computer media for religious activities, which are transmitted digitally through digital screens available in the foyer of the mosque. The results of the assistance provided an increase in perception and knowledge for the management of the mosque's digital information management section with a score of 4.33 (very appropriate), and the level of partner satisfaction with the community service program as a whole got an average score of 4.06 (satisfied).

1. Model‐Based Acquisition (MBAcq): Uniting Government and Industry around a Common Standard

AbstractThe Digital Engineering Strategy released in June 2018 outlined the DoD's strategic goals which “promote the use of digital artifacts as a technical means of communication across a diverse set of stakeholders.” Ultimately, by involving a variety of perspectives in the design decisions, one can increase quality and speed without increasing risks. “In addition to build, test, field and sustainment of defense systems, emphasis was placed on the acquisition and procurement of systems and the importance of digital engineering. This was further reinforced in the Feb 2022 release of the Engineering of Defense Systems Guidebook which contains Digital Engineering sections in each chapter. The norm for Systems Engineering has become Model‐Based Systems Engineering (MBSE) in which models are used at all phases of development. To complete the digital thread from concept to disposal, models will be required for the acquisition phase. This paper will describe Model‐Based Acquisition (MBAcq), and how it can be used to increase clarity for compliance and understanding in Systems and Software Acquisition.” (Hause, Hart, 2022) MBAcq can supplant the use of document‐based specification but only if we come together as an industry to develop and agree upon some standardization. A word of caution, model‐based approaches will only be successful if they are grounded in sound systems engineering practices. The thought process to create the models are as equally important as the resulting models themselves. This paper will discuss the work being done by the OMG MBAcq User Group, which is a broad industry body with participation from INCOSE, Armed Services, OUSD, DoD CIO, NDIA, DAU, FFRDCs and many industry suppliers, such as Boeing, Northrup Grumman, and Lockheed Martin, working together to successfully create both the standardization and guidance to successfully deploy MBAcq to the larger community. Parts of this paper were first published by the authors in (Hause, Hart, 202)

Digital cities theme section editorial essay: approach digital cities from the communication perspective

Digital cities theme section editorial essay: approach digital cities from the communication perspective

The spatial coordinates projection method for generating digital geologic cross sections from the multi-source terrain and geologic data

The spatial coordinates projection method for generating digital geologic cross sections from the multi-source terrain and geologic data

New approaches to the architectural analysis of deltaic outcrops: Implications for subsurface reservoir characterization and paleoenvironmental reconstruction

This study defines a new workflow to investigate the internal facies architecture of a river-dominated delta deposit using outcrops of the Cretaceous Panther Tongue of the Star Point Sandstone in central Utah, U.S.A. Photorealistic virtual outcrop models (VOM) were created from ~13 linear-km of outcrop. The VOMs, alongside field observations, were used to identify and map facies and facies associations over the ~25 m-thick stratigraphic interval. In order to investigate this system as a potential subsurface reservoir analog, a database of measurements was constructed using 60 digital sections that were measured within the VOMs at 152 m (~500 ft) spacing. This database characterizes a total of 508 sandstone beds by their thickness, length, and dip, from which the average thickness (0.78 m), bed length (330 m), and bed dip (2˚ towards the south) were calculated. Thinning rates were also calculated in both depositional strike and depositional dip directions (1.37x10-2 and 1.01x10-2 respectively). These comparable values suggest that the sandstone beds thin equally laterally and longitudinally from the sediment source, a characteristic typical of modern-day river-dominated deltas. The dataset also includes siltstone unit thickness data, recording an average thickness of 0.81 m, and a trend of increasing siltstone abundance and thickness moving from proximal areas where siltstones comprise 3% of the succession, and 77% in the most distal areas. The impact of observational scale was also investigated by querying the database at multiple physical length scales to include more typical well spacings of 305 and 610 m (500 and 1000 ft). This additional analysis emphasizes the role of variability in lithologically heterogeneous systems and underscores the utility of outcrop analogs to better understand sources of uncertainty. From these data, a series of depositional environment maps was constructed, illustrating the evolution of eight delta lobes that encompass the preserved depositional history of the study area. These maps document the compensational stacking of individual lobes and the progressive southward directed trajectory of the Panther Tongue delta system. Results of this analysis provide insight into depositional processes and scales of heterogeneity of the Panther Tongue and, by extension, analogous river-dominated delta systems. The workflow established in this study is exportable to other sedimentary outcrops and environments, thus demonstrating that VOMs can be used as a basis for quantitative database development and reservoir modeling inputs.

The problem of the cultural crisis in today's information-digital society

The purpose of the paper is to highlight the crisis phenomena that are an integral part of the socio-cultural space and, together with elements of progress towards well-being, form civilizational progress. The crisis of culture has several manifestations, determining its existential and axiological dimensions. The purpose of scientific exploration is to characterize the crisis phenomena in modern culture in the information and digital section. The methodology that most fully reveals the content of the cultural crisis is scientific-philosophical dialectical and synergetic in nature. Consequently, man and society use informatization and digitalization of socio-cultural space as principles, revealing the problematic aspects of cultural development. The formation of innovative sociocultural development strategies, the main task of which is to promptly identify the crisis aspects of culture, should be considered as a novelty. It is the dynamism that is the main practically oriented criterion in the modern scientific and philosophical analysis of the cultural crisis. Conclusion. Thus, the information and digital society has developed the actual value constants of its development, which allow promptly recognizing the cultural processes that are potentially or presently in crisis.

Research on a novel digital tooth sectioning guide system for tooth sectioning during mandibular third molar extraction: An in vitro study

ObjectiveTo construct a novel portable tooth sectioning guide to improve the accuracy of mandibular third molar extraction. MethodsFirst, 72 samples of an identical 3D-printed double-rooted mandibular third molar were obtained and used in 36 mandibular models. Three different models were constructed (class B vertical, mesial, and horizontal impaction). Then, we made the tooth sectioning guides. mimicking clinical tooth sectioning conditions, two dental surgeons with different levels of experience used both the digital guided technique and the traditional empirical technique during surgery. Accuracy indicators, including apical deviation and angle deviation, were analyzed and compared on postoperative cone-beam computed tomographic scanning and via image reconstruction. Descriptive statistical analyses were performed. A p-value of 0.05 indicated statistically significant differences among the groups. ResultsOverall, the mean apical deviation of experienced/inexperienced operators using the conventional section technique was 1.120 mm (0.7 mm, 2.3 mm) and 1.54± 0.84 mm, respectively. Correspondingly, the mean apical deviation under the guided section technique was 0.28 mm (0.2 mm, 0.4 mm) and 0.32±0.16 mm, respectively. The mean angle deviations of experienced/inexperienced operators under the conventional section technique were 8.015° (3.5°, 10.5°) and 6.570° (5.5°, 14.9°). Correspondingly, the mean apical deviation using the guided section technique was 1.880° (0.4°, 2.9°) and 1.470° (0.7°, 3.1°), respectively. The conventional and guided techniques were significantly different (P < 0.001). ConclusionsIn the digital guide technique, sectioning is more predictable and accurate, and the success of the operation is achievable with different proficiencies among dental surgeons. Clinical SignificanceThis technique will not only reduce the difficulty of tooth extraction but also reduce the risk of damage to the surrounding soft and hard tissues, especially damage to the inferior alveolar nerve.

A micro-hyperspectral image classification method of gallbladder cancer based on multi-scale fusion attention mechanism

A micro-hyperspectral image classification method of gallbladder cancer based on multi-scale fusion attention mechanism