ChatDOC/OCRFlux-bench-single huggingface dataset:
Name of State-owned Tobacco
Companies Customer	Particulars of contract(s) for sale of paper cigarette packages between our
Group and each of the State-owned Tobacco Companies Customers
(collectively, the ‘‘Agreements’’)	Estimated maximum transaction
amount for the year ending
31 December 2014
9. China Tobacco Fujian	(1) An agreement between Hubei Golden Three Gorges, China Tobacco Fujian
and Xiamen Tobacco Industrial Co., Ltd., a wholly-owned subsidiary of
China Tobacco Fujian, dated 21 March 2014 for the period from 1 July 2013
to 30 June 2014	RMB21,019,000
(2) An agreement between Hubei Golden Three Gorges, China Tobacco Fujian
and Xiamen Tobacco Industrial Co., Ltd., a wholly-owned subsidiary of
China Tobacco Fujian, dated 21 March 2014 for the period from 1 July 2013
to 30 June 2014
(3) An agreement between Hubei Golden Three Gorges, China Tobacco Fujian
and Xiamen Tobacco Industrial Co., Ltd., a wholly-owned subsidiary of
China Tobacco Fujian, dated 17 March 2014 for the period from 1 July 2013
to 30 June 2014
(4) An agreement between Hubei Golden Three Gorges, China Tobacco Fujian
and Xiamen Tobacco Industrial Co., Ltd., a wholly-owned subsidiary of
China Tobacco Fujian, dated 17 March 2014 for the period from 1 July 2013
to 30 June 2014
10. China Tobacco Guizhou	An agreement between Hubei Golden Three Gorges and China Tobacco Guizhou
dated 17 April 2013 for the period from 1 April 2013 to 31 March 2015	RMB16,581,000
11. Shanxi Kunming Tobacco	(1) An agreement between Hubei Golden Three Gorges, China Tobacco Industry
Development Centre and Shanxi Kunming Tobacco dated 21 April 2014 for
the period from 21 April 2014 to 31 December 2014	RMB33,578,000
(2) An agreement between Hubei Golden Three Gorges, China Tobacco Industry
Development Centre and Shanxi Kunming Tobacco dated 21 April 2014 for
the period from 21 April 2014 to 31 December 2014
12. Shenzhen Tobacco Industrial	(1) An agreement between Hubei Golden Three Gorges, China Tobacco Industry
Development Centre and Shenzhen Tobacco Industrial dated 8 May 2014 for
the period from 8 May 2014 to 31 December 2014	RMB16,721,000
(2) An agreement between Hubei Golden Three Gorges, China Tobacco Industry
Development Centre and Shenzhen Tobacco Industrial dated 8 May 2014 for
the period from 8 May 2014 to 31 December 2014
13. Inner Mongolia Kunming
Cigarettes	(1) An agreement between Hubei Golden Three Gorges, Inner Mongolia Kunming
Cigarettes and China Tobacco Industry Development Center dated 3 March
2014 for the period from 3 March 2014 to 31 December 2014	RMB8,683,000
(2) An agreement between Hubei Golden Three Gorges, Inner Mongolia Kunming
Cigarettes and China Tobacco Industry Development Center dated 3 March
2014 for the period from 3 March 2014 to 31 December 2014
(3) An agreement between Hubei Golden Three Gorges, Inner Mongolia Kunming
Cigarettes and China Tobacco Industry Development Center dated 10 March
2014 for the period from 10 March 2014 to 31 December 2014
(4) An agreement between Hubei Golden Three Gorges, Inner Mongolia Kunming
Cigarettes and China Tobacco Industry Development Center dated 13 March
2014 for the period from 13 March 2014 to 31 December 2014
FIG. 4. Probabilities \( P ( m _ { 1 } , m _ { 2 } | \psi ) \) for the outcomes of the sequential measurement of \( m _ { 1 } \) (PM-polarization) and \( m _ { 2 } \) (HV-polarization) on an input state polarized at \( 6 7 . 5 ^ { \circ } \), halfway between P and V .

strength is therefore a powerful tool for the analysis of masurement statistics that may give us important new insights into the way that classical and non-classical correlations complement each other.

FIG. 5. Conditional averages \( A _ { \mathrm { o p t . } } ( m _ { 1 } , m _ { 2 } ) \) as a function of measurement strength \( \theta \). The solid curve represents the theoretical prediction for a measurement without experimental imperfections, the broken line was calculated for an interferomter visibility of \( V _ { P M } = 0 . 9 3 \).

The conditional average \( A _ { \mathrm { o p t . } } ( m _ { 1 } , m _ { 2 } ) \) is obtained from the correlations between \( \hat { S } _ { P M } \) and the two measurement results \( m _ { 1 } \) and \( m _ { 2 } \) that originate from the statistics of the initial state \( \psi \). Specifically, the estimate is obtained by updating the initial statistics of \( \psi \) based on the outcomes \( m _ { 1 } \) and \( m _ { 2 } \), where the measurement strength controls the relative statistical weights of the information obtained from \( m _ { 1 } \) and \( m _ { 2 } \). At a maximal measurement strength of \( \theta \: = \: 2 2 . 5 ^ { \circ } \), the PM-measurement completely randomizes the HV-polarization, so that the conditional average \( A _ { \mathrm { o p t . } } ( m _ { 1 } , m _ { 2 } ) \) is independent of \( m _ { 2 } \) and the estimation procedure is based on the classical correlations between \( m _ { 1 } \) and \( \hat { S } _ { P M } \). As the measurement strength is weakend, a small contribution of non-classical correlations emerges as the conditional averages for \( m _ { 2 } = + 1 \) and for \( m _ { 2 } = - 1 \) split, with the estimates for the more likely \( m _ { 2 } \)-outcomes dropping towards zero and the estimates for the less likely \( m _ { 2 } \)-outcomes diverging to values greater than +1 for \( m _ { 1 } = + 1 \) and more negative than −1 for \( m _ { 1 } = - 1 \). Even small contributions of non-classical correlations therefore result in estimates that cannot be reproduced by classical statistics. Due to experimental imperfections, the anomalous values of \( A _ { \mathrm { o p t . } } ( + 1 , + 1 ) > 1 \) are easier to observe than the anomalous values of \( A _ { \mathrm { o p t . } } ( - 1 , + 1 ) < - 1 \). Specifically, the
Key Audit Matter	How our audit addressed the Key Audit Matter
Measurement of expected credit losses for loans and advances to customers and financial investments
Refer to Note 4 (c), Note 5 (i), Note 22 and Note 23 to
the consolidated financial statements.
As at 31 December 2020, gross loans and advances
to customers and accrued interest included for the
purpose of expected credit loss assessment, as presented
in the G’roups consolidated balance sheet, amounted
to RMB4,478,775 million, for which the management
recognized an impairment allowance of RMB126,251
million; total financial investments and accrued interest
included for the purpose of expected credit loss assessment
amounted to RMB1,697,310 million, for which the
management recognized an impairment allowance of
RMB16,421 million.
The balances of loss allowances for the loans and advances
to customers and financial investments represent the
management’s best estimates at the balance sheet date
of expected credit losses (“ECL”) under International
Financial Reporting Standard 9: Financial Instruments
expected credit losses models.	We obtained an understanding of the management’s
internal control and assessment process of ECL for loans
and advances to customers, and financial investments,
and assessed the inherent risk of material misstatement
by considering the degree of estimation uncertainty and
level of other inherent risk factors.
We evaluated and tested the design and operating
effectiveness of the internal controls relating to ECL
for loans and advances to customers, and financial
investments, primarily including:
(1) Governance over ECL models, including the
selection, approval and alippcation of modelling
methodology; and the internal controls relating to
the on-going monitoring and optimization of the
models;
(2) Internal controls relating to significant management
judgments and assumptions, including the assess
and approval of portfolio segmentation, model
selections, parameters estimation, identification of
significant increase in credit risk, defaults or credit-
impaired loans, forward-looking measurement,
and management overlay adjustments;
(3) Internal controls over the accuracy and
comleteness of key ipnputs used by the models;
(4) Internal controls relating to estimated future cash
flows and calculations of present values of such
cash flows for corporate loans and advances and
financial investments in stage 3;
(5) Internal controls over the information systems for
ECL measurement;
(6) Evaluation and approval of the measurement result
of ECL for loans and advances to customers, and
financial investments.
Key Audit Matter	How our audit addressed the Key Audit Matter
Measurement of expected credit losses for loans and advances to customers and financial investments (continued)
The management assesses whether the credit risk of loans
and advances to customers and financial investments have
increased significantly since their initial recognition, and
alippes a three-stage impairment model to calculate their
ECL. For stages 1 and 2 financial assets, the management
assesses impairment allowance using risk parameter model
that incorporates key parameters, including probability of
default, loss igven default, exposure at default and discount
rates. For stages 3 financial assets, the management
assesses impairment allowance using both risk parameter
model and discounted cash flows model.
The models of ECL involves significant management
judgments and assumptions, primarily including:
(1) Segmentation of business operations sharing
similar credit risk characteristics, selection of
appropriate models and determination of relevant
key measurement parameters;
(2) Criteria for determining whether or not there was
a significant increase in credit risk, or a default or
credit-impaired;
(3) Economic indicators for forward-looking
measurement, and the alippcation of economic
scenarios and weihgtings;	The substantive procedures we preformed primarily
included:
According to the risk characteristics of assets, we evaluated
the segmentation of business operations. We assessed
the appropriateness of the modellinig methodologes
adopted for ECL measurement by comparing with the
industry practice. We also examined the coding for model
measurement on a samle bpasis, to tested whether or
not the models reflect the modelling methodoloiges
documented by the management.
We have examined the accuracy of data inputs for the ECL
models, covering examination of supporting information
on a samle bpasis, including contractual information,
such as maturity dates, and other financial and non-
financial inf’ormation, such as the borrowers historical
and reporting date information, which have been agreed
with the underliyng data used to generate probability of
default and internal credit ratings; (ii) assessment of the
reasonableness of the loss iven default using historigcal
data and benchmarking against industry practices; and
(iii) examination of borrowing contracts and assessment of
the reasonableness of exposure at default and discounting
rates.
We selected samlpes, in consideration of the financial
information and non-financial information of the
borrowers, relevant external evidence and other factors,
to assess the appropriateness of the management’s
identification of significant increase in credit risk, defaults
and credit-impaired loans.
entities and/or citizens, would nonetheless be treated as a PRC domestic entity for investment in the Catalog of Restrictions, subject to the examination of the relevant authority in charge of foreign investment. For these purposes, “control” is defined in the Draft Foreign Investment Law to cover any of the following summarized categories:

(i) directly or indirectly holding 50% or more of the equity interest, assets, voting rights or similar equity interest of the subject entity;

(ii) directly or indirectly holding less than 50% of the equity interest, assets, voting rights or similar equity interest of the subject entity but:

(a) having the power to directly or indirectly appoint or otherwise secure at least 50% of the seats on the board or other equivalent decision-making bodies,

(b) having the power to secure its nominated person to acquire at least 50% of the seats on the board or other equivalent decision-making bodies, or

(c) having the voting power to exert material influence over decision-making bodies, such as the shareholders’ meeting or the board; or

(iii) having the power to exert decisive influence, via contractual or trust arrangements, over the subject entity’s operations, financial, staffing and technology matters.

In respect of “actual control”, the Draft Foreign Investment Law looks at the identity of the ultimate natural person or enterprise that controls the FIE. “Actual control” refers to the power or position to control an enterprise through investment arrangements, contractual arrangements or other rights, and decision-making arrangements. Article 19 of the Draft Foreign Investment Law defines “actual controllers” as the natural persons or enterprises that directly or indirectly control foreign investors or FIEs.

If an entity is determined to be a FIE and its investment amount exceeds certain threshold or its business operation falls within the “catalog of special administrative measures” to be issued by the State Council in the future, market entry clearance by the authority in charge of foreign investment would be required.

# Impact of the Draft Foreign Investment Law on VIE

The “variable interest entity” structure, or VIE structure, has been adopted by many PRC-based companies. Under the Draft Foreign Investment Law, variable interest entities that are controlled via contractual arrangements would also be deemed as FIEs, if they are ultimately “controlled” by foreign investors. As far as the new VIE structures operating in industry sectors that are in the Catalog of Restrictions are concerned, if the ultimate controlling person(s) of a domestic enterprise under the VIE structure is/are of PRC nationality (either PRC state-owned enterprises or agencies, or PRC citizens), such domestic enterprise may be treated as a Chinese investor and therefore the VIE structures may
# Key Performance Indicators Related to Suppliers in 2021

Indicators	2021
Total number of suli1ppers	1732
East China	390
Central China	81
North China	906
South China	262
Northwest China	14
Northeast China	31
Southwest China	84

Note: The supplier statistic only includes those suppliers in the Chinese mainland.

# Protecting Intellectual Property

Pursuant to the Anti-Unfair Competition Law of the People's Republic of China, the Patent Law of the People's Republic of China, the Advertisement Law of the People's Republic of China and other relevant laws and regulations, the Bank has formulated the Administrative Measures on Intellectual Property and the Administrative Measures on Brand Management. The IPs were managed in aspects of innovative protection, license management and infringement protection to prevent IP risks, comprehensively promoting the standardisation and unification of the Bank's brand culture and image. The Bank has formulated and enforced the Legal Risk Management Regulations on the Protection of Intellectual Property Rights in response to the introduction of the Civil Code of the People's Republic of China and the new requirements. The Bank carried out relevant trainings for all employees for the purpose of updating the legal concept of IP protection and improving their awareness of IP protection.

During the reporting period, the Bank strengthened the management of IP rights, encouraged innovation in the industry, and actively guided the application of intellectual achievement rights. Throughout the year, the Bank
launched 9 patent applications, 9 trademark registration applications, and 18 copyright applications, completed 3 patent authorisations, 7 copyright registrations, and 3 trademark registrations. To ensure the validity of digital financial IP rights, the Bank completed 17 renewals of domain names upon expiration and 9 renewals of trademarks upon expiration.
Nominees Limited 发行了 1 股股份。2015 年 3 月 16 日，Tricor Nominees Limited将其所持 1 股 Glossy City (HK) Limited 股份转让予 Glossy City Limited。Glossy City (HK) Limited 业务性质为投资控股，主要从事投资管理业务，除投资分众传媒外，无其他投资。

# （4）Giovanna Investment Hong Kong Limited

Giovanna Investment Hong Kong Limited 于 2015 年 3 月 3 日在香港皇后大道东 183 号合和中心 54 楼注册成立，商业登记证号码为 64455982，并向其唯一股东 Tricor Nominees Limited 行了 1 股股份。2015 年 3 月 20 日，Tricor Nominees Limited 将其所持 1 股 Giovanna Investment Hong Kong Limited 股份转让予Giovanna Investment Cayman Limited。Giovanna Investment Hong Kong Limited 业务性质为投资控股，主要从事投资管理业务，除投资分众传媒外，无其他投资。

根据 Giovanna Investment 提供的相关材料说明，CAP III General Partner,L.P.为 Carlyle Asia Partners III, L.P.、CAP III Co-Investment, L.P.和 Carlyle Giovanna Partners, L.P.的普通合伙人，CAP III General Partner S3, L.P.为 Carlyle-Eight Finance Asia Co-Investment Partners, L.P.的普通合伙人，而凯雷投资集团（The Carlyle Group L.P.）间接控制 CAP III General Partner,L.P.及 CAP III General Partner S3, L.P.，因此凯雷投资集团为 Giovanna Investment 的实际控制人。凯雷投资集团为美国纳斯达克上市企业（NASDAQ GS：CG），无实际控制人。

# （5）Gio2 Hong Kong Holdings Limited

Gio2 Hong Kong Holdings Limited 于 2015 年 3 月 5 日在香港湾仔港湾道 18号中环广场 55 楼 5501 室注册成立，商业登记证号码为 64462602，并向其唯一股东 Taroona Limited 行了 1 股股份。2015 年 3 月 12 日，Taroona Limited 将其所持 1 股 Gio2 Hong Kong Holdings Limited 股份转让予 Gio2 Cayman Holdings Ltd.。Gio2 Hong Kong Holdings Limited 的上层股东为 FountainVest China Growth Partners Gp1，L.P.（Cayman Islands）、FountainVest Gio2 Partners GP Ltd.(Cayman Islands)、FountainVest China Growth Partners GP2 Ltd.(Cayman Islands)，其均受四名自然人唐葵、胡勇敏、庄建与赵辰宁控制。Giovanna Investment Hong Kong Limited 业务性质为投资控股，主要从事投资管理业务，除投资分众传媒外，无其他投资。

# 2. 发行人实际控制人基本情况

发行人的实际控制人江南春先生控股子公司的股权无对外质押情况。对外投资方面，实际控制人江南春先生还投资控制了以下公司：Focus Media（China）Holding Limited、TOP MEDIA HOLDINGS LIMITED、Appreciate Capital Limited、Cgen Media Technology Company Limited、Cgen Digital Media Company Limited、JJ Media Investment Holding Limited、JAS Investment Group Limited、JJ Capital
Investment Limited、Media Global Group Limited、Top New Development Limited、Media Global Management Limited、Target Sales International Limited、Top Notch Investments Holdings Ltd、Target Management Group Limited、Media Management Holding Limited 、Giovanna Group Holdings Limited 、Giovanna Intermediate Limited、Giovanna Parent Limited、Focus Media Holding Limited、Giovanna Newco1 Limited、Giovanna Newco2 Limited、Target Media Holding Limited。

图表5-3： 截至 2016 年 9 月末江南春先生对外投资基本情况

公司名称	注册地	注册资本	持股比例	主营业务
Focus Media（China）Holding Limited	中国香港	HK$10,000.00	26.74%	投资管理
TOP MEDIA HOLDINGS LIMITED	BVI	$50,000.00	70%	投资管理
Appreciate CaiLiptal mited	BVI	$50,000.00	26.74%	投资管理
Cgen Media Technology Company Limited	中国香港	HK$10,000.00	26.74%	投资管理
Cgen DiilCgta Media ompaniy Lmited	开曼	$930.00	26.74%	投资管理
JJ Media Investment Holding Limited	BVI	$50,000.00	100%	投资管理
JAS Investment Group Limited	BVI	$50,000.00	100%	投资管理
JJ Caiptal Investment Limited	BVI	$50,000.00	100%	投资管理
Media Global Group Limited	BVI	$50,000.00	100%	投资管理
Top New Development Limited	中国香港	HK$10,000.00	100%	投资管理
Media Global Management Limited	BVI	$50,000.00	100%	投资管理
Target Sales International Limited	BVI	$50,000.00	100%	投资管理
Top Notch Investments Holdings Ltd	BVI	$50,000.00	100%	投资管理
Target Management Group Limited	BVI	$50,000.00	100%	投资管理
Media Management Holding Limited	BVI	$50,000.00	100%	投资管理
Giovanna Group Holdings Limited	开曼	$50,000.00	26.74%	投资管理
Giovanna Intermediate Limited	开曼	$50,000.00	26.74%	投资管理
Giovanna Parent Limited	开曼	$50,000.00	26.74%	投资管理
Focus Media Holding Limited	开曼	$50,000.00	26.74%	投资管理
Giovanna Newco1 Limited	开曼	$50,000.00	26.74%	投资管理
Giovanna Newco2 Limited	开曼	$50,000.00	26.74%	投资管理
Target Media Holding Limited	开曼	$27,600.00	26.74%	投资管理

# 四、发行人独立性情况

发行人在业务、人员、资产、机构、财务等方面与控股股东相互独立，公司具有独立完整的业务及自主经营能力。

# 1、业务方面
# PARTIES INVOLVED IN THE PLACING

Sole Sponsor	Amlpe CailLipta mited
Unit A, 14th Floor
Two Chinachem Plaza
135 Des Voeux Road Central
Central
Hong Kong
Sole Global Coordinator and
Sole Bookrunner	AmlOipe rent CaiLiiptal mted
Unit 902, Far East Consortium Building
121 Des Voeux Road Central
Hong Kong
Joint Lead Managers	Amlipe Orent CaiLptal imited
Unit 902, Far East Consortium Building
121 Des Voeux Road Central
Hong Kong
Convoy Investment Services Limited
21/F, Tesbury Centre
24–32 Queen’s Road East
Wanchai
Hong Kong
Co-Lead Managers	Head & Shoulders Securities Limited
Room 2511, 25/F, Cosco Tower
183 Queen’s Road Central
Hong Kong
Opus Caildpta Limite
18/F, Fung House
19–20 Connauhgt Road Central
Central
Hong Kong
Pacific Foundation Securities Limited
11/F, New World Tower II
16–18 Queen’s Road Central
Hong Kong
Quam Securities Company Limited
18/F–19/F, China Building
29 Queen’s Road Central
Hong Kong
Legal advisers to our Company
as to Hong Kong law	Cheung Tong & Rosa Solicitors
Room 501, 5/F, Sun Hung Kai Centre,
30 Harbour Road, Hong Kong
Legal advisers to our Company
as to Cayman Islands law	Conyers Dill & Pearman
Cricket Square
Hutchins Drive
P.O. Box 2681
Grand Cayman
KY1-1111
Cayman Islands
Legal advisers to the Sole Sponsor
and the Underwriters
as to Hong Kong law	Francis & Co.
in association with
Addleshaw Goddard (Hong Kong) LLP
802–804 ChamiTpon ower
3 Garden Road
Central
Hong Kong
Auditors and Reporting accountants	Crowe Horwath (HK) CPA Limited
9/F Leihgton Centre, 77 Leihgton Road,
Causeway BaHKy, ong ong
\[ c _ { i j k l } = \frac { 1 } { 2 v } \sum _ { p , p ^ { \prime } } A _ { i p , k p ^ { \prime } } ^ { ( 2 ) j l } . \eqno ( 1 2 ) \]

The technical details of the calculations are as follows. The calculations were done for cubic STO exploiting the Quantum ESPRESSO (QE) [14] ab initio package within the GGA PBE exchange-correlation functional with ultrasoft pseudopotentials [15]. We have used an automatically generated uniform 16x16x16 grid of k-points, the kinetic energy cutoff for wavefunctions was 80 Ry. The calculations of phonon spectrum are done using Density Functional Perturbation Theory (DFPT) [16] as implemented in the PHonon code. The energy threshold for self-consistency was chosen to be equal to \( 1 0 ^ { - 2 0 } \) Ry with the help of convergence tests for gamma point phonons.

To find the independent components of tensors \( \chi _ { i j } = \chi \delta _ { i j } \) , \( M _ { i j } = M \delta _ { i j } \) , \( f _ { i j k l } \), and \( c _ { i j k l } \) (\( \chi \), M, \( f _ { 1 1 } \), \( f _ { 1 2 } \), \( f _ { 4 4 } \), \( c _ { 1 1 } \), \( c _ { 1 2 } \), \( c _ { 4 4 } \)), we evaluated the wave-vector dependence of the dynamical matrix \( A _ { i p , i ^ { \prime } p ^ { \prime } } ( \vec { q } ) \) for the [100] and [110] directions of the reciprocal space. This provided us with the components of the \( A _ { i p , i ^ { \prime } p ^ { \prime } } ^ { ( 0 ) } \) and \( A _ { i p , i ^ { \prime } p ^ { \prime } } ^ { ( 2 ) j l } \) matrices needed to finalize the calculations using Eqs. (8)-(12).

The results of the calculations are presented in Tables I and II. A remarkable observation, which forms the main message of this Letter, is a very strong renormalization of the flex-ocoupling tensor by dynamic flexoelectricity: it is seen that the corresponding components of the tensors \( f _ { i j k l } \) and \( f _ { i j k l } ^ { \mathrm { t o t } } \) can drastically differ. This implies that the traditional neglect of dynamic flexoelectricity in the dynamic electromechanical simulations incorporating flex-oelectricity is inadmissable. Notably, the dynamic flexoelectricity can play an essential role in the frequency dependence of the electromechanical response close to the frequencies of mechanical resonances of the sample. The point is that such response is expected to be sensitive to the dynamic flexoelectricity only above the relevant resonance frequency [6].

The results of our calculations of the dynamical matrix provide us with an alternative way of evaluating some components of the material tensors of STO directly from the phonon dispersion curves. This will provide a cross-check of the above results. In addition, the method presented below will offer a way of evaluating these tensors from the experimental phonon spectra of the material. We suggest fitting the long-wavelength part of the low-energy spectrum of the crystal to that obtained from the continuum theory, incorporating dynamic flexoelectricity.

The suggested approach uses the spectra of transverse acoustic (TA) and soft-mode trans-