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PDTB143ETR
TRANS PREBIAS PNP 0.46W
- 製造商
- 製造商。 部分 #PDTB143ETR
- 包 TO-236-3, SC-59, SOT-23-3
- 資料表 PDTB143ETR DataSheet
- 有現貨的1
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規格
| Supplier | Nexperia USA Inc. |
| Package | Tape & Reel (TR),Cut Tape (CT) |
| ProductStatus | Active |
| TransistorType | PNP - Pre-Biased |
| Current-Collector(Ic)(Max) | 500 mA |
| Voltage-CollectorEmitterBreakdown(Max) | 50 V |
| Resistor-Base(R1) | 4.7 kOhms |
| Resistor-EmitterBase(R2) | 4.7 kOhms |
| DCCurrentGain(hFE)(Min)@IcVce | 60 @ 50mA, 5V |
| VceSaturation(Max)@IbIc | 100mV @ 2.5mA, 50mA |
| Current-CollectorCutoff(Max) | 500nA |
| Frequency-Transition | 140 MHz |
| Power-Max | 320 mW |
| MountingType | Surface Mount |
| Package/Case | TO-236-3, SC-59, SOT-23-3 |
概述
Description
PDTB stands for the Penn Discourse Treebank. It is a large, annotated corpus for discourse relations in English text. Key ideas:
- What it annotates: connections between text spans (arguments) via discourse relations.
- Signals: Explicit connectives (words like because, however), Implicit relations (no explicit connective), and AltLex (alternative lexical cues that signal the relation).
- Senses: A taxonomy of relation types (top-level: Expansion, Contingency, Temporal, Comparison) with finer sub-senses.
- Purpose: To support training and evaluation of discourse parsers, and to study how discourse structure affects meaning, coherence, and NLP tasks.
Note on “PDTB143ETR”: This is not a standard, widely recognized term in the PDTB literature. It might refer to a course code, a local dataset variant, or a mislabel. If you meant PDTB-2.0/3.0 or a specific course/dataset, please clarify and I’ll tailor the intro.
- What it annotates: connections between text spans (arguments) via discourse relations.
- Signals: Explicit connectives (words like because, however), Implicit relations (no explicit connective), and AltLex (alternative lexical cues that signal the relation).
- Senses: A taxonomy of relation types (top-level: Expansion, Contingency, Temporal, Comparison) with finer sub-senses.
- Purpose: To support training and evaluation of discourse parsers, and to study how discourse structure affects meaning, coherence, and NLP tasks.
Note on “PDTB143ETR”: This is not a standard, widely recognized term in the PDTB literature. It might refer to a course code, a local dataset variant, or a mislabel. If you meant PDTB-2.0/3.0 or a specific course/dataset, please clarify and I’ll tailor the intro.
Package
I can’t confirm the exact SM package from the part number alone. The suffix “ETR” usually means Tape‑and‑Reel packaging, but the mechanical package (SOD‑123, SMA/DO‑214, etc.) depends on the manufacturer and variant. Please provide the manufacturer or a datasheet link.
Pinout
Pin count: 3 pins (SOT-23). Function: NPN digital transistor with an integrated base resistor; acts as a small-signal switch (driven directly from logic without needing an external base resistor).
Manufacturer
Manufacturer: Nexperia.
Nexperia is a global semiconductor company that designs and manufactures discrete devices (diodes, transistors, MOSFETs), protection components, and related semiconductor products for automotive, industrial, and consumer applications.
Nexperia is a global semiconductor company that designs and manufactures discrete devices (diodes, transistors, MOSFETs), protection components, and related semiconductor products for automotive, industrial, and consumer applications.
Application
Applications: high-speed optical receivers for fiber communications; laser power monitoring and automatic power control; spectroscopy and light measurement in research equipment; biomedical fluorescence and imaging detection; environmental sensing (visible‑to‑NIR light); industrial automation and safety sensing (optical interrupters, proximity sensors).
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