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The Streak-Tube Imaging Lidar (STIL) has been widely used in high-precision measurement systems due to its ability to capture detailed spatial and temporal information. In this paper, we proposed a ranging measurement method that integrates a Time-to-Digital Converter (TDC) with a streak camera in a remote STIL system. In this method, the TDC accurately measures the trigger pulse time, while the streak camera captures high time-resolution images of the laser echo, thereby enhancing both measurement accuracy and range. A corresponding ranging model is developed for this method. To validate the system's performance, an outdoor experiment covering a distance of up to 6 km was conducted. The results demonstrate that the system achieved a distance measurement accuracy of 0.1 m, highlighting its effectiveness in long-range applications. The experiment further confirms that the combination of STIL and TDC significantly enhances accuracy and range, making it suitable for various long-range, high-precision measurement tasks. [ABSTRACT FROM AUTHOR]

Thiamine Deficiency Complex is an emerging health concern for California’s Chinook salmon (Oncorhynchus tshawytscha). Low egg thiamine concentrations contribute to the condition being expressed in newly hatched fry leading to increased rates of early mortality. Increased rates of mortality in early life stages could further jeopardize already depleted populations of Chinook salmon in California’s river systems. In 2020, a study of egg thiamine concentrations at Coleman National Fish Hatchery and Livingston Stone Fish Hatchery revealed nearly 50% of the sampled populations contained egg thiamine concentrations below 5 nmol/g which is the egg thiamine concentration threshold for 95% fry viability. This study assesses egg thiamine concentrations from Chinook salmon sampled in the Klamath River Basin during their 2020 and 2021 annual spawning migrations. The study will also assess relationships between egg thiamine concentration and other variables including water temperature and distance of migration, and it will also evaluate relationships between egg diameter and egg thiamine concentration.See the media created for this project here: https://storymaps.arcgis.com/stories/b49ec1acfdc9435dabeeca0c2606eda1

Perturbation of thyroid hormone (T4) synthesis is known to cause numerous developmental, metabolic, and cognitive disorders in humans. Due to species differences in sensitivity to chemical exposures, there is a need for human-based in vitro approaches that recapitulate thyroid cellular architecture and T4 production when screening. To address these limitations, primary human thyrocytes, isolated from healthy adult donor tissues and cryopreserved at passage one (p’1) were characterized for cellular composition, 3D follicular architecture, and thyroglobulin (TG)/T4 expression and inhibition by prototype thyroid disrupting chemicals (TDC). Flow analysis of the post-thaw cell suspension showed >80% EpCAM-positive cells with 10%–50% CD90-positive cells. When seeded onto 96-well Matrigel® -coated plates and treated with bovine thyroid stimulating hormone (TSH), thyrocytes formed 3D microtissues during the initial 4–5 days of culture. The microtissues exhibited a stable morphology and size over a 14-day culture period. TG and T4 production were highest in microtissues when the proportion of CD90-positive cells, seeding density and thyroid stimulating hormone concentrations were between 10%–30%, 6K–12K cells per well, and 0.03–1 mIU/mL, respectively. At maximal TG and T4 production levels, average microtissue diameters ranged between 50 and 200 µm. The T4 IC50 values for two prototype TPO inhibitors, 6-propyl-2-thiouracil and methimazole, were ~0.7 µM and ~0.5 µM, respectively, in microtissue cultures treated between days 9 and 14. Overall, p’1 cryopreserved primary human thyrocytes in 3D microtissue culture represent a promising new model system to prioritize potential TDC acting directly on the thyroid as part of a weight-of-evidence hazard characterization. [ABSTRACT FROM AUTHOR]

Background: Our goal was to investigate linkages between skin color parameters and skin hydration. Since most prior studies focused on stratum corneum hydration, we focused on epidermal and dermal hydration in relation to skin color parameters in both sexes. Materials and Methods: Thirty adults (16 female) with an age ± SD of 24.3 ± 0.6 years participated. Three sites on both volar forearms were evaluated for melanin index (MI), erythema index (EI), Individual Typology Angle (ITA), tissue dielectric constant (TDC) values to depths of 0.5 mm (TDC0.5) and 2.5 mm (TDC2.5), and Fitzpatrick skin type (FST). Results: MI and EI were highly correlated (r = 0.800, p < 0.001) with maximum differences in MI and ITA along the arm of 3% and 6.3% with no difference between arms. Male MI was greater than females (p < 0.01). Male TDC2.5 was 36.1 ± 5.4 and correlated with EI (r = 0.231, p = 0.035). Contrastingly, female TDC25 was 28.5 ± 3.6 with no correlation with EI but was correlated with MI (r = −0.301, p = 0.003). These differential patterns held true for TDC0.5. For both sexes, FST and ITA were highly correlated (r = −0.756, p < 0.001). Conclusions: The findings revealed several correlations between skin color parameters and hydration that differed between males in females in some cases. The observed correlations may indicate that melanin may differentially impact water‐holding capacity between sexes and provides a future research target. Further, these initial findings also may hold significance for dermatological assessments and the customization of skincare treatments tailored to individual skin types and demographics. [ABSTRACT FROM AUTHOR]

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The firmware developed for the readout and trigger processing of the information emerging from the BIS78-RPC Muon Spectrometer chambers in the ATLAS experiment at CERN is presented here, together with data processing techniques, data acquisition software, and tests of the readout chain system, which represent efforts to make these chambers operational in the ATLAS experiment. This work is performed in the context of the BIS78-RPC project, which deals with the pilot deployment of a new generation of sMDT+RPCs in the experiment. Such chambers are planned to be fully deployed in the whole barrel inner layer of the Muon Spectrometer during the Phase II upgrade of the ATLAS experiment. On-chamber front-ends include an amplifier, a discriminator ASIC, and an LVDS transmitter. The signal is digitized by CERN HPTDC chips and then processed by an FPGA, which is the heart of the readout and trigger processing, using various techniques. [ABSTRACT FROM AUTHOR]

Melatonin is a crucial regulator of plant growth and development as well as stress tolerance. However, we only have a limited understanding of the functions of endogenous melatonin. Tryptophan decarboxylase (TDC) serves as the initial rate-limiting enzyme in the melatonin synthesis pathway. To date, no cucumber TDC gene has been cloned and characterized. In this study, we identified two TDC genes (CsTDC1 and CsTDC2) in the cucumber genome. The subcellular localization analysis indicated that CsTDC1 and CsTDC2 are predominantly localized in the cytoplasm and plasma membrane. Tissue-specific expression analyses revealed that CsTDC1 and CsTDC2 are expressed in both vegetative and reproductive organs. Many cis-elements related to stress, hormone, and light responses as well as development were identified in the CsTDC promoter regions. Furthermore, the expression of CsTDC1 and CsTDC2 was strongly induced by treatments with various abiotic stresses and exogenous hormones. The transient overexpression of CsTDC1 and CsTDC2 in tobacco leaves resulted in increases in the TDC activity and melatonin content, along with improved tolerance of tobacco leaves to salt, drought, and low-temperature stresses. Notably, the overexpression of CsTDC2 had a more pronounced effect than the overexpression of CsTDC1. Accordingly, both CsTDC genes, but especially CsTDC2, may be important for regulating cucumber growth, development, and stress tolerance. The study findings provide a theoretical and experimental basis for future functional analyses of endogenous melatonin in cucumber. [ABSTRACT FROM AUTHOR]

Background: Globally, esophageal squamous cell carcinoma (ESCC) stands out as a common cancer type, characterized by its notably high rates of occurrence and mortality. Recent advancements in treatment methods, including immunotherapy, have shown promise, yet the prognosis remains poor. In the context of tumor development and treatment outcomes, the tumor microenvironment (TME), especially the function of dendritic cells (DCs), is significantly influential. Our study aims to delve deeper into the heterogeneity of DCs in ESCC using single-cell RNA sequencing (scRNA-seq) and bulk RNA analysis. Methods: In the scRNA-seq analysis, we utilized the SCP package for result visualization and functional enrichment analysis of cell subpopulations. CellChat was employed to identify potential oncogenic mechanisms in DCs, while Monocle 2 traced the evolutionary trajectory of the three DC subtypes. CopyKAT assessed the benign or malignant nature of cells, and SCENIC conducted transcription factor regulatory network analysis, offering a preliminary exploration of DC heterogeneity. In Bulk-RNA analysis, we constructed a prognostic model for ESCC prognosis and immunotherapy response, based on DC marker genes. This model was validated through quantitative PCR (qPCR) and immunohistochemistry (IHC), confirming the gene expression levels. Results: In this study, through intercellular communication analysis, we identified GALECTIN and MHC-I signaling pathways as potential oncogenic mechanisms within dendritic cells. We categorized DCs into three subtypes: plasmacytoid (pDC), conventional (cDC), and tolerogenic (tDC). Our findings revealed that pDCs exhibited an increased proportion of cells in the G2/M and S phases, indicating enhanced cellular activity. Pseudotime trajectory analysis demonstrated that cDCs were in early stages of differentiation, whereas tDCs were in more advanced stages, with pDCs distributed across both early and late differentiation phases. Prognostic analysis highlighted a significant correlation between pDCs and tDCs with the prognosis of ESCC (P< 0.05), while no significant correlation was observed between cDCs and ESCC prognosis (P = 0.31). The analysis of cell malignancy showed the lowest proportion of malignant cells in cDCs (17%), followed by pDCs (29%), and the highest in tDCs (48%), with these results being statistically significant (P< 0.05). We developed a robust ESCC prognostic model based on marker genes of pDCs and tDCs in the GSE53624 cohort (n = 119), which was validated in the TCGA-ESCC cohort (n = 139) and the IMvigor210 immunotherapy cohort (n = 298) (P< 0.05). Additionally, we supplemented the study with a novel nomogram that integrates clinical features and risk assessments. Finally, the expression levels of genes involved in the model were validated using qPCR (n = 8) and IHC (n = 16), thereby confirming the accuracy of our analysis. Conclusion: This study enhances the understanding of dendritic cell heterogeneity in ESCC and its impact on patient prognosis. The insights gained from scRNA-seq and Bulk-RNA analysis contribute to the development of novel biomarkers and therapeutic targets. Our prognostic models based on DC-related gene signatures hold promise for improving ESCC patient stratification and guiding treatment decisions. [ABSTRACT FROM AUTHOR]

Perturbation of thyroid hormone (T4) synthesis is known to cause numerous developmental, metabolic, and cognitive disorders in humans. Due to species differences in sensitivity to chemical exposures, there is a need for human-based in vitro approaches that recapitulate thyroid cellular architecture and T4 production when screening. To address these limitations, primary human thyrocytes, isolated from healthy adult donor tissues and cryopreserved at passage one (p’1) were characterized for cellular composition, 3D follicular architecture, and thyroglobulin (TG)/T4 expression and inhibition by prototype thyroid disrupting chemicals (TDC). Flow analysis of the post-thaw cell suspension showed >80% EpCAM-positive cells with 10%–50% CD90-positive cells. When seeded onto 96-well Matrigel®-coated plates and treated with bovine thyroid stimulating hormone (TSH), thyrocytes formed 3D microtissues during the initial 4–5 days of culture. The microtissues exhibited a stable morphology and size over a 14-day culture period. TG and T4 production were highest in microtissues when the proportion of CD90-positive cells, seeding density and thyroid stimulating hormone concentrations were between 10%–30%, 6K–12K cells per well, and 0.03–1 mIU/mL, respectively. At maximal TG and T4 production levels, average microtissue diameters ranged between 50 and 200 µm. The T4 IC50 values for two prototype TPO inhibitors, 6-propyl-2-thiouracil and methimazole, were ∼0.7 µM and ∼0.5 µM, respectively, in microtissue cultures treated between days 9 and 14. Overall, p’1 cryopreserved primary human thyrocytes in 3D microtissue culture represent a promising new model system to prioritize potential TDC acting directly on the thyroid as part of a weight-of-evidence hazard characterization.

The Streak-Tube Imaging Lidar (STIL) has been widely used in high-precision measurement systems due to its ability to capture detailed spatial and temporal information. In this paper, we proposed a ranging measurement method that integrates a Time-to-Digital Converter (TDC) with a streak camera in a remote STIL system. In this method, the TDC accurately measures the trigger pulse time, while the streak camera captures high time-resolution images of the laser echo, thereby enhancing both measurement accuracy and range. A corresponding ranging model is developed for this method. To validate the system’s performance, an outdoor experiment covering a distance of up to 6 km was conducted. The results demonstrate that the system achieved a distance measurement accuracy of 0.1 m, highlighting its effectiveness in long-range applications. The experiment further confirms that the combination of STIL and TDC significantly enhances accuracy and range, making it suitable for various long-range, high-precision measurement tasks.

We report the case of a near fatal arterial injury in a patient undergoing an inside-out catheter placement through an occluded central venous system using the Surfacer device (Bluegrass Vascular). The right internal mammary artery was inadvertently lacerated during the procedure, leading to cardiovascular collapse. The patient was rescued by transfusion, placement of a chest tube, and coil embolization of the right internal mammary artery. Postprocedure analysis of intraoperative cone beam computed tomography revealed that this injury was predictable on imaging, underscoring the need for advanced imaging guidance to enhance the safety of this procedure.

A variable-gain time-to-digital converter (TDC)-based multiplying delay-locked loop (MDLL) clock multiplier featuring fast-locking and programmable N/M-ratio frequency multiplication capability is presented in this paper. The proposed all-digital programmable N/M-ratio MDLL achieves fast-locking capability by adopting a new variable-gain TDC. In conventional fixed-gain TDC-based MDLLs, the lock time increases as the value of the multiplication factor N decreases. However, the proposed variable-gain TDC can minimize the MDLL lock time by adjusting the TDC gain according to the change in N value. Implemented in a 40 nm 1.1-V CMOS process, the proposed all-digital MDLL clock multiplier generates output clock frequencies ranging from 0.65 to 3.2 GHz, with programmable N/M ratios of N = 5 to 16 and M = 1 to 8. It achieves a fast lock time of only 3 × M (=9) reference clock cycles when N/M = 10/3 at 2.0 GHz and demonstrates a simulated peak-to-peak jitter of 3.16 ps at 3.2 GHz when N/M = 16/3. Additionally, it occupies an active area of only 0.02 mm2 (=200 μm × 100 μm) and consumes a power of 2.3 mW at 1.0 GHz. [ABSTRACT FROM AUTHOR]

Hafnium-based ferroelectric memories are a promising approach to enhancing integrated circuit performance, offering advantages such as miniaturization, compatibility with CMOS technology, fast read and write speeds, non-volatility, and low power consumption. However, FeRAM (Ferroelectric Random Access Memory) still faces challenges related to endurance and retention susceptibility to process variations. Hence, testing and obtaining the core parameters of ferroelectric capacitors continuously is essential to investigate these phenomena and explore the potential solution. The traditional method for measuring ferroelectric capacitors has limitations in timing generation capability, introduces parasitic capacitance, and lacks accuracy for small-area capacitors. In this study, we analyzed the working principle of ferroelectric capacitors and designed a method to detect the remnant polarization, saturation polarization, and imprint offset of ferroelectric capacitors. Further, we further proposed a circuit implementation method. The proposed test circuit conquers these limitations and enables high-precision testing of ferroelectric capacitors, contributing to developing hafnium-based ferroelectric memories. The circuit includes a flip-readout circuit, a capacitance calibration circuit, and a voltage-to-time converter and time-to-digital converter (VTC&TDC) readout circuit. According to simulation results, the capacitance calibration circuit reduces the deviation of the capacitance by 84%, and the accuracy of the readout circuit is 5.91 bits, with a readout time of 150 ns and a power consumption of 1 mW. This circuit enables low-cost acquisition of array-level small-area ferroelectric capacitance data, which can guide subsequent device optimization and circuit design. [ABSTRACT FROM AUTHOR]

This paper presents a test methodology to facilitate the measuring processes of LiDAR receiver ICs by avoiding the inherent walk error issue. In a typical LiDAR system, a costly laser diode driver emits narrow light pulses with fast rising edges, and the reflected pulses from targets enter an optical detector followed by an analog front-end (AFE) circuit. Then, the received signals pass through the cascaded amplifiers down to the time-to-digital converter (TDC) that can estimate the detection range. However, this relatively long signal journey leads to the significant decline of rising-edge slopes and the output pulse spreading, thus producing inherent walk errors in LiDAR receiver ICs. Compensation methods requiring complex algorithms and extra chip area have frequently been exploited to lessen the walk errors. In this paper, however, a simpler and lower-cost methodology is proposed to test LiDAR receiver ICs by employing a high-speed buffer and variable delay cells right before the TDC. With these circuits, both START and STOP pulses show very similar pulse shapes, thus effectively avoiding the walk error issue. Additionally, the time interval between two pulses is easily determined by varying the number of the delay cells. Test chips of the proposed receiver IC implemented in a 180-nm CMOS process successfully demonstrate easier and more accurate measurement results. [ABSTRACT FROM AUTHOR]

Melatonin is a crucial regulator of plant growth and development as well as stress tolerance. However, we only have a limited understanding of the functions of endogenous melatonin. Tryptophan decarboxylase (TDC) serves as the initial rate-limiting enzyme in the melatonin synthesis pathway. To date, no cucumber TDC gene has been cloned and characterized. In this study, we identified two TDC genes (CsTDC1 and CsTDC2) in the cucumber genome. The subcellular localization analysis indicated that CsTDC1 and CsTDC2 are predominantly localized in the cytoplasm and plasma membrane. Tissue-specific expression analyses revealed that CsTDC1 and CsTDC2 are expressed in both vegetative and reproductive organs. Many cis-elements related to stress, hormone, and light responses as well as development were identified in the CsTDC promoter regions. Furthermore, the expression of CsTDC1 and CsTDC2 was strongly induced by treatments with various abiotic stresses and exogenous hormones. The transient overexpression of CsTDC1 and CsTDC2 in tobacco leaves resulted in increases in the TDC activity and melatonin content, along with improved tolerance of tobacco leaves to salt, drought, and low-temperature stresses. Notably, the overexpression of CsTDC2 had a more pronounced effect than the overexpression of CsTDC1. Accordingly, both CsTDC genes, but especially CsTDC2, may be important for regulating cucumber growth, development, and stress tolerance. The study findings provide a theoretical and experimental basis for future functional analyses of endogenous melatonin in cucumber.

This work presents a Time-to-Digital Converter implemented using two nested Johnson counters and suitable for time-lapse measurement applications. The proposed structure is composed of two 4-bit nested counters, two digital-logic control networks, two registers and a single decoder. Semi-dynamic logic was used for the decoder to reduce its power consumption. The system has a standard digital output and is powered by a 1.8 V supply with a total power consumption of 32.4 mW. A prototype was fabricated using a TSMC 180 nm CMOS technology. The proposed structure uses a 508 µm x 225 µm area. In addition, this TDC has a standard deviation of 0.78 LSB with a fixed input time interval operating at a frequency of 1 MHz. The proposed structure shows good performance results and repeatability for continuous conversion conditions, these results are attributed to the simplicity of the system and the use of counters with minimum gate delay as the main elements for the TDC.

A novel two-step coarse-fine time-to-digital converter (TDC) is fabricated in 65-nm CMOS, with a relaxation oscillator based peak counter (ROC) for the coarse stage and a successive approximation analog-to-digital converter (SAR-ADC) for the fine stage. A reconfigurable 3-bit digital counter expands the dynamic range, and a high-precision 9-bit SAR-ADC ensures the resolution. The proposed ROC-ADC scheme conducts the time residence and the transfer linearity well for two-step quantization. Experimental results show that the presented 12-bit TDC achieves a high resolution less than 8 ps and a wide dynamic range up to 30 ns, with the differential nonlinearity (DNL) and integral nonlinearity (INL) values of 0.92 LSB and 1.07 LSB, respectively. The TDC consumes a low power of 0.6 mW from a 1-V supply, with the active area of 0.14 mm2. [ABSTRACT FROM AUTHOR]

In this work, we present a compact "adaptive downsampling" method that mitigates the nonlinearity problems associated with FPGA-based TDCs that utilize delay lines. Additionally, this generic method allows for trade-offs between resolution, linearity, and resource utilization. Since nonlinearity is one of the predominant issues regarding delay lines in FPGA-based TDCs, combined with the fact that delay lines are utilized for a wide range of TDC architectures (not limited to the delay-line TDC), other implementations (e.g., Vernier or wave union TDCs), also in different FPGA devices, can directly benefit from the proposed adaptive method, with no need for either custom routing or complex tuning of the converter. Furthermore, implementation-related challenges regarding clock skew, measurement uncertainty, and the placement of the TDC are discussed and we also propose an experimental setup that utilizes only FPGA resources in order to characterize the converter. Although the TDC in this work was implemented in a Xilinx Virtex-6 device and was characterized under different operational modes, we successfully optimized the converter's nonlinearity and resource utilization while retaining single-shot precision. The best performing (in terms of linearity) implementation reached D N L r m s and I N L r m s values of 0.30 LSB and 0.45 LSB, respectively, and the single-shot precision (σ) was 9.0 ps. [ABSTRACT FROM AUTHOR]

An all-digital clock frequency multiplier that achieves excellent locking time for an energy-efficient chiplet-based system-on-chip (SoC) design is presented. The proposed architecture is based on an all-digital multiplying delay-locked loop (MDLL) to provide fast locking time and multiplied output clock frequency. The proposed MDLL has two operation modes: TDC tracking and sequential tracking. At the beginning of the operation, the MDLL utilizes a cyclic Vernier time-to-digital converter (TDC) to detect the initial phase error between the reference clock and the output clock. Then the TDC generates a digital code word (DCW) for controlling the digitally controlled oscillator (DCO) to achieve a fast lock time. The gains of TDC and DCO are designed to match well with each other, enabling phase and frequency locking in only two searches in the TDC tracking mode. After locking, the TDC is turned off, and the MDLL performs the sequential tracking mode and minimizes jitter by using the delta-sigma modulator (DSM)-based dithering jitter reduction scheme. The prototype all-digital MDLL is fabricated in a 40-nm CMOS process and achieves a fast lock time of less than six reference clock cycles at 1.6 GHz from a 100 MHz reference clock. Even when the 100 MHz reference clock has a relatively high RMS jitter of 2.19 ps (peak-to-peak jitter = 15.74 ps), the measured RMS and peak-to-peak jitter values of the 1.6 GHz MDLL output clock are only 2.75 ps and 23.01 ps, respectively. The proposed all-digital MDLL occupies an active area of only 0.024 mm2 and dissipates 3.56 mW at 1.6 GHz.

A 13-bit Time to Digital Converter is implemented using multiphase clock technique. Xilinx's Virtex 5 FPGA platform is used to realize the TDC architecture. One PLL within the FPGA works as a clock synthesizer to multiply the reference clock to 500 MHz. Then the combination of PLL and DLL topologies are used to generate 16 phases of the clock, separated by 11.25°. Further, 16 phases are generated by inverting the first 16 phases. A resolution of 62.5 ps has been recorded. Measured INL and DNL are within 1 LSB. The present work is suitable for many critical applications due to its PVT insensitive and robust properties. [ABSTRACT FROM AUTHOR]

With the Online Emergency Remote Teaching (OERT) practices emerged during the outbreak of the pandemic, teachers’ digital competence (TDC) has gained growing attention in educational ICT research realm. In view of this context, the present review study aimed at illuminating the current state of TDCs literature by identifying the volume, growth trajectory, geographical distribution of TDC research. It also aimed at mapping highly influential TDC scholars, documents, and journals. Retrieved from the educational research category in the Clarivate Analytics Web of Science (WoS) core collection database, the metadata of 406 articles were analyzed by employing bibliometric performance and science mapping techniques in VOSwiever 1.6. The timeframe for the study was the last two decades (from 2002 to 2021). Findings illustrated that there has been a growing increase in the number of studies focusing on TDCs. This increase is more evident in the Covid-19 pandemic period, particularly in the last two years. More specifically, more than half of all studies were published in the years 2020 and 2021. Findings also illustrated that there is a dominance of Spanish scholars and organizations in TDC research since 2 out of every 3 studies were carried out by researchers affiliated to Spanish Universities. Additionally, co-citation analysis purported the intellectual structure of TDC knowledge base by identifying the most influential authors and documents. Finally, co-occurrence analysis revealed the concept analysis topical foci of TDC research. These topics are concentrated on “teachers’ digital competence”, “higher education studies”, teacher training programs”, and “ICT in education”. As a result, based on the findings of the study some recommendations were proposed that will contribute into the ICT research community by reflecting the intellectual structure of existing TDC research, thus highlighting the future research direction.

Even after almost three decades of introducing competitiveness into the tourism sector, there is still a rising trend in literature on Tourism Destination Competitiveness (TDC). Though there are a few systematic and traditional reviews in the domain, there has been no study of the bibliometric variables. In the current study, scientific literature on the topic is mapped through evaluative and relational bibliometric techniques utilizing Web of Science (161 documents) and Scopus (manually selected five documents) databases to run a bibliometric analysis of 166 documents on TDC, uncovering the domain's research trend concerning authors, sources, and publications. The science mapping tool bibliometrix R-package biblioshiny and VOSviewer are used to analyze the trend of scientific publications in the area, untapped knowledge, possible future trends, and implications. The analysis is undertaken on three levels: source, author, and document, as well as three types of knowledge structures: conceptual, intellectual, and social. The bibliometric analysis consists of a descriptive evaluation of the bibliographic data frame, network analyses, and graphical visualization. As per the analysis, the competitiveness of natural/cultural destinations is rarely assessed in the global scenario. The maximum number of studies in the domain are carried out in European countries. The findings can guide researchers to focus on less developed themes/areas. [ABSTRACT FROM AUTHOR]

With the development of artificial intelligence, LiDAR finds significant applications in robotics and autonomous driving. Aiming at increasing the compactness and the integration of 2-D LiDAR, this paper presents a highly digitally integrated 2-D LiDAR system implemented in a low-cost FPGA. The system is made of off-the-shelf components to limit the cost to USD 100. A laser transceiver with a symmetrical transmitting and receiving lens emits and collects laser pulses to range distance using the time-of-flight (ToF) method. As a key component in ToF, the FPGA-based time-to-digital converter (TDC) is adopted for counting the round-trip time of pulses, which is implemented in a low-cost FPGA of ZYNQ7010 with limited resources. The symmetrical structure of the delay line is used to design a more efficient TDC. The FPGA-TDC enables flexibility of design and integration with more functional logics and is microcontroller-free. All the digital logics including data processing and controlling are integrated into an FPGA with the TDC logics to realize fully digital integration and compact dimensions. The utilization of the whole architecture in the FPGA is about 15%. The experimental results demonstrated that the ranging accuracy of the LiDAR is about 2 cm, which is suitable for consumer electronics. [ABSTRACT FROM AUTHOR]

We present a small, portable, plug–and–play time measurement instrument entirely based on Field Programmable Gate Array (FPGA). Its performance is state–of–the–art in terms of the most recent Application–Specific Integrated Circuit (ASIC) solutions of Time–to–Digital Converters (TDCs), and all operating features are fully–programmable. The instrument offers an excellent cost–performance and is suitable for detector test and time correlation measurement applications. More generally, the instrument is very well suited for fast–prototyping of systems where time measures are involved, at low cost and design effort. All the features of the instrument can be easily accessed through either the Graphical User Interface (GUI) or directly from the software Application Programming Interface (API).

Indolamines are tryptophan-derived specialized metabolites belonging to the huge and ubiquitous indole alkaloids group. Serotonin and melatonin are the best-characterized members of this family, given their many hormonal and physiological roles in animals. Following their discovery in plants, the study of plant indolamines has flourished and their involvement in important processes, including stress responses, growth and development, and reproduction, has been proposed, leading to their classification as a new category of phytohormones. However, the complex indolamine puzzle is far from resolved, particularly the biological roles of tryptamine, the early serotonin precursor representing the central hub of many downstream indole alkaloids. Tryptophan decarboxylase, which catalyzes the synthesis of tryptamine, strictly regulates the flux of carbon and nitrogen from the tryptophan pool into the indolamine pathway. Furthermore, tryptamine accumulates to high levels in the reproductive organs of many plant species and therefore cannot be classed as a mere intermediate but rather as an end product with potentially important functions in fruits and seeds. This review summarizes current knowledge on the role of tryptamine and its close relative serotonin, emphasizing the need for a clear understanding of the functions of, and mutual relations between, these indolamines and their biosynthesis pathways in plants. [ABSTRACT FROM AUTHOR]

Side-channel analysis methods can reveal the secret information of digital electronic systems by analyzing the dependency between the power consumption of implemented cryptographic algorithms and the secret data. Recent studies show that it is possible to gather information about power consumption from FPGAs without any physical access. High flexibilities of modern FPGAs cause that they are used for cloud accelerator in Platform as a Service (PaaS) system; however, new serious vulnerabilities emerged for these platforms. Although there are some reports about how switching activities from one region of FPGA affect other regions, details of this technique are not analyzed. In this paper, we analyzed the strength of this kind of attack and examined the impact of geometrical and electrical parameters of the victim/attacker modules on the efficiency of this attack. We utilized a Zynq-based Xilinx platform as the device under attack. Experimental results and analyses show that the distance between the victim module and the sensor modules is not the only effective parameter on the quality of attack; the influence of the relational location of victim/attacker modules could be more considerable on the quality of attack. Results of this analysis can help the FPGA manufacturer and IP developers to protect their systems against this serious attack. [ABSTRACT FROM AUTHOR]

Time-to-Digital Converters (TDC) are popular circuits in many applications, where high resolution time measurements are required, for example, in Positron Emission Tomography (PET). Besides its resolution, the TDC's linearity is also an important performance indicator, therefore calibration circuits usually play an important role on TDCs architectures. This paper presents an all-digital TDC implemented using Structured Datapath to reduce the need for calibration circuitry and cells custom design, without compromising the TDC's linearity. The proposed design is fully implementable using a Hardware Description Language (HDL) and enables a complete design flow automation, reducing both development time and system's complexity. The TDC is based on a Delay Locked Loop (DLL) paired with a coarse counter to increase measurement range. The proposed architecture and the design approach have proven to be efficient in developing a high resolution TDC with high linearity. The proposed TDC was implemented in TSMC 0.18 CMOS technology process achieving a resolution of 180ps, with Differential Non-Linearity (DNL) and Integral Non-Linearity (INL) under 0.6 LSB.

Accurate and rapid measuring methods for displacement of nano-scale is necessary for manipulation. Self-sensing and time-digit-conversion(TDC) are two applicable measuring methods especially suitable for room-limited workspaces and vacuum-compliance required applications, thanks to their space-saving advantage and slight thermal impact on system. The self-sensing method gives measurements in high resolution at high sampling rate but its accuracy suffers from nonlinearity, while TDC has better linearity which causes less deviation to results but has a much lower sampling rate. A Kalman filter based fusion approach with dual estimation modes and self-adaptive parameters is designed to fuse the two measurements with different sampling rates at a higher frequency. Modifications to error covariance parameters are applied to traditional Kalman filter so that sensors' generalized errors rather than their Gaussian noises are taken into consideration, and corresponding derivation is given. A series of experiments are conducted to evaluate the performance of the fused measurement.

This paper made a corresponding improvement on influence of temperature on the performance of the time-domain temperature sensor circuits. According to the qualitative relationship between temperature coefficient and size of transistors, the aspect ratio of the transistors in sensing part is improved to increase its temperature coefficient. Besides, a current mirror for temperature compensation is added to the ring oscillator of TDC(Time-to-Digital Converter) and the parameters of inverters are adjusted so that the temperature drift of TDC is near zero at the chosen temperature range. The method reduces the total power consumption and power density of the circuit, thereby reducing the performance loss caused by self-heating and self-heating of the circuit.

This paper presents a 12-bit branching Time-to-Digital converter (TDC) fabricated in a 40 nm CMOS technology. It composes of a 6-bit coarse counter TDC, and a 6-bit fine TDC. The fine TDC utilizes a proposed branching technique to interpolate between the phases of a 16-stage gated ring oscillator, increasing its number of phases from 16 to 64. Therefore, the TDC resolution is improved to be 4 times finer. The TDC incorporates fully digital based resolution tuning capability that enables its resolution to be more stable over PVT variations. Measurement results show that the resolution tuning reduces the resolution variation by 92.3% over a temperature range of − 40 to 125 °C. However, the simple resolution tuning method causes the TDC to have a relatively large resolution of 36.2 ps. The trade-offs between TDC resolution, yield, and scalability are discussed. The proposed TDC uses simple gated inverters based samplers instead of conventional arbiters to reduce power and area consumption. In addition, power gating features of the proposed TDC enable a low power consumption of 275 µW at a sampling rate of 5 MS/s. Without any linearity calibrations, the TDC DNL, INL, single-shot precision, and figure-of-merit are measured to be 1.30 LSB, 3.61 LSB, 0.75 LSB, and 61.9 fJ/conv.-step, respectively. [ABSTRACT FROM AUTHOR]

A high‐precision measurement method, based on multiple sampling, is proposed for the time interval of two signals in this study. A time interval measurement circuit integrated into the time‐to‐digital converter (TDC), is designed based on this high‐precision measurement method. In the TDC, the authors use two identical delay lines as the holding module to ensure the two signals with a constant time interval. The TDC samples the two signals multiple times by a clock signal, whose period is shorter than that of the delay line. Consequently, the problem of limited resolution caused by a mismatch between delay lines in the delay‐line structure can be avoided, and the precision of the output can be improved. The proposed TDC is designed and simulated in Semiconductor Manufacturing International Corporation (SMIC) 0.18 μm complementary metal–oxide–semiconductor process. Simulation results show that the differential non‐linearity and the integral non‐linearity are always less than one least significant bits. The proposed TDC achieves input dynamic range of 0–32.13 ns and time resolution of 9 ps. [ABSTRACT FROM AUTHOR]

This paper presents a nine-bit integrator-based time-to-digital converter (I-TDC) realized in a 180 nm CMOS technology for the applications of indoor home-monitoring light detection and ranging (LiDAR) sensors. The proposed I-TDC exploits a clock-free configuration so as to discard clock-related dynamic power consumption and some notorious issues such as skew, glitch, and synchronization. It consists of a one-dimensional (1D) flash TDC to generate coarse-control codes and an integrator with a peak detection and hold (PDH) circuit to produce fine-control codes. A thermometer-to-binary converter is added to the 1D flash TDC, yielding four-bit coarse codes so that the measured detection range can be represented by nine-bit digital codes in total. Test chips of the proposed I-TDC demonstrate the measured results of the 53 dB dynamic range, i.e., the maximum detection range of 33.6 m and the minimum range of 7.5 cm. The chip core occupies the area of 0.14 × 1.4 mm2, with the power dissipation of 1.6 mW from a single 1.2-V supply.

The eect of supplementary feeding on age and weight at puberty was evaluated in 79 pre-pubertal Tropical Dairy Criollo (TDC) heifers of 8 and 10 months of age, distributed in four treatments: T1 and T2) 8 month old heifers with and without supplementary feeding (WSF, n= 20) and (NSF, n= 20), respectively; T3 and T4) 10 month old heifers (WSF, n= 20) and (NSF, n= 19). Average age and weight at puberty in T2 and T4 was 20.4 ± 0.5 months and 287.2 ± 5.9 kg compared with 17.5 ± 0.6 months and 296.8 ± 7.8 kg in T1 and T3 (p < 0.05). The number, follicular diameter (mm) and concentration of progesterone (ng mL−1 ) in blood was higher (p < 0.05) in T1 and T3 compared to T2 and T4. Supplementary feeding decreases the age at puberty, increases weight gain, improves follicular development and increases blood progesterone concentration in TDC females.

This review describes the use of tissue dielectric constant (TDC) measurements mainly in the assessment of breast cancer-related lymphedema (BCRL). PubMed, Web of Science, and EMBASE databases were initially searched using criteria that included the terms "dielectric" and "lymphedema." The initial search yielded a total of 131 titles. After removing studies not focused on upper extremity lymphedema, 56 articles remained. These articles, together with relevant articles from their bibliographies, formed the basis of the review. The findings show the potential utility and applications of TDC measurements to help detect and track BCRL, whether present in limbs, breasts, or trunks. It is reported as a non-invasive, simple-to-use method, with each measurement requiring less than 10 seconds, suggesting its practicality and useability as an in-office or in-clinic screening and tracking method. Although there are various ways to quantitatively evaluate lymphedema, most, if not all, are restricted to measurements on limbs. Thus, one significant advantage of the TDC approach is that almost any local region of interest can be effectively measured and tracked, which, for BCRL, could include specific regions of arms or hands, breasts, and truncal areas., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Toro et al.)

The increasing number of clock domain crossings in modern systems-on-chip makes the careful consideration of metastability paramount. However, the manifestation of metastability at a flip-flop output is often unduly reduced to late transitions only, while glitches are hardly ever accounted for. In this paper we study the occurrence of glitches resulting from metastability in detail. To this end we propose a measurement circuit whose principle substantially differs from the conventional approach, and by that allows to reliably detect glitches. By means of experimental measurements on an FPGA target we can clearly identify late transitions, single glitches and double glitches as possible manifestations of metastability. Some of these behaviors are unexpected as they do not follow from the traditional modeling theory. We also study the dependence of metastable behavior on supply voltage. Beyond confirming that, as reported in previous literature, the metastable decay constant τ is voltage-dependent, we also produce strong evidence that the relative occurrence of glitches is not voltage-dependent. [ABSTRACT FROM AUTHOR]

The Kirchhoff–Love shell theory is recasted in the frame of the tangential differential calculus (TDC) where differential operators on surfaces are formulated based on global, three-dimensional coordinates. As a consequence, there is no need for a parametrization of the shell geometry implying curvilinear surface coordinates as used in the classical shell theory. Therefore, the proposed TDC-based formulation also applies to shell geometries which are zero-isosurfaces as in the level-set method where no parametrization is available in general. For the discretization, the TDC-based formulation may be used based on surface meshes implying element-wise parametrizations. Then, the results are equivalent to those obtained based on the classical theory. However, it may also be used in recent finite element approaches as the TraceFEM and CutFEM where shape functions are generated on a background mesh without any need for a parametrization. Numerical results presented herein are achieved with isogeometric analysis for classical and new benchmark tests. Higher-order convergence rates in the residual errors are achieved when the physical fields are sufficiently smooth. [ABSTRACT FROM AUTHOR]

Time‐to‐digital converter (TDC) is one of the important blocks in most of the digital systems that need to have high resolution. Time difference amplifier (TDA) is used in TDC for increasing the resolution. In this study, an all‐digital TDA is proposed. The proposed TDA uses the delay lines with difference delay for amplifying. The proposed circuit is designed and simulated in 65 nm CMOS technology and has a gain of ten and a chip area of about 0.003 mm2. The calculated maximum gain error is 5%. The proposed TDA consumes 0.94 mW power under 1.1 V supply voltage. [ABSTRACT FROM AUTHOR]

Featured Application: This work is relevant in the context of multi-user LiDAR applications where multiple LiDARs may be active in the same environment simultaneously. Automotive safety, driving assistance, robotic navigation, and automated industrial vehicles are a few examples of scenarios where interference among concurrent LiDARs quickly becomes a critical issue. In those applications, being able to guarantee interference-free LiDAR operation is a necessary step towards the realization of safe and reliable functions. This paper describes an optical interference suppression scheme that allows flash light detection and ranging (LiDAR) imagers to run safely and reliably in uncontrolled environments where multiple LiDARs are expected to operate concurrently. The issue of optical interference is a potential show-stopper for the adoption of flash LiDAR as a technology of choice in multi-user application fields such as automotive sensing and autonomous vehicle navigation. The relatively large emission angle and field of view of flash LiDAR imagers make them especially vulnerable to optical interference. This work illustrates how a time-correlated single-photon counting LiDAR can control the timing of its laser emission to reduce its statistical correlation to other modulated or pulsed light sources. This method is based on a variable random delay applied to the laser pulse generated by LiDAR and to the internal circuitry measuring the time-of-flight. The statistical properties of the pseudorandom sequence of delays determines the effectiveness of LiDAR resilience against unintentional and intentional optical interference. For basic multi-camera operation, a linear feedback shift register (LFSR) was used as a random delay generator, and the performance of the interference suppression was evaluated as a function of sequence length and integration time. Direct interference from an identical LiDAR emitter pointed at the same object was reduced up to 50 dB. Changing integration time between 10 ms and 100 ms showed a marginal impact on the performance of the suppression (less than 3 dB deviation). LiDAR signal integrity was characterized during suppression, obtaining a maximum relative deviation of the measured time-of-flight of 0.1%, and a maximum deviation of measurements spread (full-width half-maximum) of 3%. The LiDAR signal presented an expected worst-case reduction in intensity of 25%. [ABSTRACT FROM AUTHOR]

Objective: To evaluate MDCT perfusion role in HCC local therapy response. Patients and methods: Post radiofrequency ablation and trans-arterial chemoembolization 14 (88%) male and 2 (12%) female HCC patients; with the mean age, 55.75 ± 10.6 years underwent follow-up hepatic CT perfusion. The hepatic arterial and portal venous perfusions (HAP and HPP, ml/min/100 ml) and hepatic perfusion index (HPI%) were indicated using the color coded maps to assess the effects of local therapy on hepatic perfusion values. Results: The post local treatment CTP of the recurrent tumor confirmed relative increased HAP and HPI and reduced PVP relative to the background values of the cirrhotic hepatic parenchyma. The recurrent HCC post-treatment CTP including HAP is 71 ± 12.19, the PVP is 25.5 ± 8.66 and HPI is 52.5 ± 11.9. The post local-treatment CTP of the necrosis confirmed relative decreased HAP and HPI and increased PVP. The post-treatment necrosis CTP including HAP is 23 ± 10.39, the PVP is 34.75 ± 11.5 and HPI is 29 ± 16.51. The CTP sensitivity is 75%, specificity 50% and P-value