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---
title: Q3 2026 Business Review
subtitle: Northwind Technologies · Board quarterly report
author: Business Operations · Finance
date: October 15, 2026
number-sections: true
---

# Key figures {#sec:kpi}

The group booked **USD 68.0 million** in revenue in Q3, up [▲ 18.4%]{color=green .bold} year on year — the **sixth** quarter in a row of double-digit growth. Gross margin reached [32.7%]{color=primary .bold}, a record since the IPO. Operating cash flow exceeded net profit for the first time; [days sales outstanding]{.underline} remain above target and are a priority for Q4[^1].

![Q3 dashboard: (a) monthly revenue by product line and gross margin; (b) revenue mix; (c) growth by region; (d) net profit bridge](images/dashboard.png){#fig:dash width=100%}

<table>
  <caption>Key figures against budget, Q3 2026 {#tbl:kpi}</caption>
  <tr><th rowspan="2">Area</th><th rowspan="2">Measure</th><th colspan="3" align="center">Q3 2026</th><th rowspan="2">y/y</th><th rowspan="2">Status</th></tr>
  <tr><th>Actual</th><th>Budget</th><th>vs budget</th></tr>
  <tr><td rowspan="2"><b>Scale</b></td><td>Revenue (USD m)</td><td align="right"><b>68.0</b></td><td align="right">64.4</td><td align="right">105.7%</td><td align="right"><span style="color:#2E7D32">+18.4%</span></td><td><span style="color:#2E7D32">● Ahead</span></td></tr>
  <tr><td>New contracts (USD m)</td><td align="right"><b>85.7</b></td><td align="right">77.0</td><td align="right">111.3%</td><td align="right"><span style="color:#2E7D32">+26.1%</span></td><td><span style="color:#2E7D32">● Ahead</span></td></tr>
  <tr><td rowspan="2"><b>Profit</b></td><td>Gross margin</td><td align="right"><b>32.7%</b></td><td align="right">31.5%</td><td align="right">+1.2 pt</td><td align="right"><span style="color:#2E7D32">+1.9 pt</span></td><td><span style="color:#2E7D32">● Ahead</span></td></tr>
  <tr><td>Net profit (USD m)</td><td align="right"><b>8.7</b></td><td align="right">8.4</td><td align="right">103.3%</td><td align="right"><span style="color:#2E7D32">+21.6%</span></td><td><span style="color:#2E7D32">● On track</span></td></tr>
  <tr><td rowspan="2"><b>Cash</b></td><td>Operating cash flow (USD m)</td><td align="right"><b>9.9</b></td><td align="right">7.7</td><td align="right">129.1%</td><td align="right"><span style="color:#2E7D32">+48.0%</span></td><td><span style="color:#2E7D32">● Ahead</span></td></tr>
  <tr><td>Days sales outstanding</td><td align="right"><b>96</b></td><td align="right">85</td><td align="right">−11 days</td><td align="right"><span style="color:#C0392B">+7 days</span></td><td><span style="color:#E67E22">▲ Watch</span></td></tr>
</table>

> [!IMPORTANT]
> Cloud now makes up **31.4%** of revenue ([@fig:dash]b) and has become our second growth engine; the West has led regional growth for three quarters running.

# Regions {#sec:region}

<table>
  <caption>Revenue by region and product line (USD m) {#tbl:region}</caption>
  <tr><th rowspan="2">Region</th><th rowspan="2">Market</th><th colspan="2" align="center">Software</th><th colspan="2" align="center">Cloud</th><th rowspan="2">Total</th></tr>
  <tr><th>Q3</th><th>y/y</th><th>Q3</th><th>y/y</th></tr>
  <tr><td rowspan="3"><b>East</b></td><td>New York</td><td align="right">5.9</td><td align="right">+12%</td><td align="right">4.3</td><td align="right"><span style="color:#2E7D32">+41%</span></td><td align="right">12.0</td></tr>
  <tr><td>Boston</td><td align="right">5.3</td><td align="right">+19%</td><td align="right">3.4</td><td align="right"><span style="color:#2E7D32">+36%</span></td><td align="right">9.9</td></tr>
  <tr><td>Philadelphia</td><td align="right">4.6</td><td align="right">+15%</td><td align="right">2.8</td><td align="right">+28%</td><td align="right">8.4</td></tr>
  <tr><td rowspan="2"><b>South</b></td><td>Atlanta</td><td align="right">5.0</td><td align="right">+9%</td><td align="right">3.1</td><td align="right">+24%</td><td align="right">9.2</td></tr>
  <tr><td>Miami</td><td align="right">2.0</td><td align="right">+6%</td><td align="right">1.0</td><td align="right">+18%</td><td align="right">3.4</td></tr>
…

---
title: Attention-Weighted Physics-Informed Neural Networks for the Unsteady Navier–Stokes Equations
author: Ming Wang^1^, Hua Li^1,2^, Siyuan Chen^2^
date: September 2026
abstract: Physics-informed neural networks (PINNs) often fail to converge on unsteady flows at high Reynolds numbers because the gradients of their loss terms are badly out of balance. We propose Attn-PINN, which uses an attention mechanism to weight the residuals adaptively, and prove an upper bound on its approximation error. For flow past a cylinder ($\mathrm{Re}=3\,900$), Attn-PINN reaches a relative $L^2$ error of $1.7\times10^{-3}$ — **an order of magnitude** below the baseline — while training 41% faster.
bibliography: refs.bib
number-sections: true
header-left: Attn-PINN for the Unsteady Navier–Stokes Equations
---

# Introduction

PINNs embed the residual of a partial differential equation in the loss of a neural network [@raissi2019]. They need no mesh and solve forward and inverse problems alike, and have become a core method of scientific machine learning [@karniadakis2021]. For the strongly nonlinear Navier–Stokes equations, however, the gradients of the individual loss terms can differ by more than $10^{3}$, trapping training in a “gradient pathology” [@wang2021]. Neural operators [@li2021] ease the problem but need large amounts of labelled data. Borrowing the attention mechanism of the Transformer [@vaswani2017], we let the network **learn** the weight of every collocation point during training.

# Problem statement {#sec:problem}

Consider incompressible viscous flow in a domain $\Omega\subset\mathbb{R}^2$. The velocity $\mathbf{u}=(u,v)^{\top}$ and pressure $p$ satisfy

$$
\left\{
\begin{aligned}
\frac{\partial \mathbf{u}}{\partial t} + (\mathbf{u}\cdot\nabla)\mathbf{u}
  &= -\frac{1}{\rho}\nabla p + \nu\,\nabla^{2}\mathbf{u} + \mathbf{f},
  && (\mathbf{x},t)\in\Omega\times(0,T],\\
\nabla\cdot\mathbf{u} &= 0,
  && (\mathbf{x},t)\in\Omega\times(0,T],\\
\mathbf{u}(\mathbf{x},0) &= \mathbf{u}_0(\mathbf{x}),
  && \mathbf{x}\in\Omega,
\end{aligned}
\right.
$$ {#eq:ns}

where $\nu$ is the kinematic viscosity. With networks $\hat{\mathbf{u}}_{\theta}$ and $\hat{p}_{\theta}$ approximating the solution, the momentum residual is
$\mathbf{r}_{\theta} = \partial_t\hat{\mathbf{u}}_{\theta} + (\hat{\mathbf{u}}_{\theta}\cdot\nabla)\hat{\mathbf{u}}_{\theta} + \rho^{-1}\nabla\hat{p}_{\theta} - \nu\nabla^{2}\hat{\mathbf{u}}_{\theta} - \mathbf{f}$.

# Method {#sec:method}

## Attention-weighted residuals

For $N_r$ collocation points $\{\mathbf{x}_i\}$, the weights come from scaled dot-product attention over residual features:
…

---
title: 关于做好2026年度安全生产工作的通知
gongwen:
  份号: "000123"
  密级: 机密★1年
  紧急程度: 特急
  发文机关标志: 星河市人民政府文件
  发文字号: 星政发〔2026〕12号
  主送机关: 各区县人民政府，市政府各部门，各有关单位：
  发文机关署名: 星河市人民政府
  成文日期: 2026-10-24
  附注: （此件公开发布）
  抄送: 市委各部门，市人大常委会办公室，市政协办公室，市中级人民法院，市人民检察院，各人民团体。
  印发机关: 星河市人民政府办公室
  印发日期: 2026-10-24
---

为深入贯彻落实安全生产工作部署，切实防范化解重大安全风险，坚决遏制重特大事故发生，保障人民群众生命财产安全，经市政府同意，现就做好本年度安全生产工作通知如下。

# 一、总体要求

坚持人民至上生命至上，统筹发展和安全，坚持安全第一预防为主综合治理方针，以防范化解重大安全风险为主线，以深化安全生产专项整治为抓手，全面提升本质安全水平，推动安全生产形势持续稳定向好，为全市经济社会高质量发展营造良好安全环境。

# 二、重点任务

## （一）压实安全生产责任

各地各部门要严格落实党政领导干部安全生产责任制，按照管行业必须管安全管业务必须管安全管生产经营必须管安全的要求，层层分解任务，逐级压实责任，确保责任落实到岗位到人员，形成横向到边纵向到底的责任体系。

## （二）深化专项整治行动

聚焦危险化学品矿山消防交通运输建筑施工城镇燃气等重点行业领域，全面开展隐患排查整治，建立问题隐患和制度措施两个清单，实行闭环管理，做到整改责任措施资金时限和预案五落实，坚决防止形式主义和官僚主义。

### 1. 危险化学品领域

全面摸排危险化学品生产储存使用经营运输废弃处置等环节风险底数，督促企业完善安全设施，严格落实特殊作业审批制度，严厉打击非法违法行为。

### 2. 城镇燃气领域

开展城镇燃气管道老化更新改造，2026年底前完成附件1所列重点任务。餐饮等人员密集场所全部安装可燃气体报警装置。
…

---
title: Northwind Smart Campus Feasibility Study
subtitle: Draft for review
date: 2026-10-20
client: City Renewal Authority
report-no: NW-2026-018
---

# Project overview

Northwind Smart Campus sits on 38.6 hectares in the east of the high-tech zone, with 520,000 m² of floor area for R&D offices, pilot plants, staff housing and services. Construction takes 36 months.

# Why build it

The campus is expected to create about 12,000 jobs and USD 1.2 billion of annual output, strengthening the region's innovation chain.

| Indicator              | Value          |
|------------------------|----------------|
| Total investment       | USD 600 m      |
| Financial IRR          | 9.6%           |
| Payback period         | 11.2 years     |

: Key economic indicators