Suchergebnisse

Das vorliegende Werk beschäftigt sich mit der Entwicklung der chinesischen Strafrechtswissenschaft der letzten beiden Jahrzehnte. Dabei behandeln die einzelnen Beiträge teils aktuelle Problemfelder wie die Todesstrafe; andere Beiträge arbeiten unterschiedliche Themenfelder historisch auf. Immer wieder ziehen die Texte einen Vergleich zur deutschen Strafrechtswissenschaft und stellen deren Einfluss auf die chinesische Strafrechtswissenschaft dar. Dabei wird deutlich, dass die deutsche Strafrechtswissenschaft in China einen hohen Stellenwert genießt. Ziel der Schriften zum Ostasiatischen Strafrecht ist es nicht nur, die aktuelle Entwicklung der chinesischen Strafrechtswissenschaft zu skizzieren, sondern auch, ein gegenseitiges Verständnis zu entwickeln. Auf diese Weise soll ein konstruktiver fachlicher Austausch auf Augenhöhe ermöglicht werden.InhaltsübersichtGenlin Liang: Einleitung: Wandel des Strafrechts und der Strafrechtstheorie in China – eine historische, kulturelle und politische Untersuchung – Xingliang Chen: Die Funktion des Strafrechts – Dongyan Lao: Die schwierige Lage der Bestimmtheit im Sinne der Doktrin nulla poena sine lege sowie ein Ausweg – Wei Lin: Der Wandel und die Bedeutung der Befugnis zur Auslegung des Strafrechts – Shizhou Wang: Die duale Struktur und Funktion des Verbrechensbegriffs in der chinesischen Strafrechtstheorie – Xingliang Chen: Eine Untersuchung zum System der Verbrechenslehre – Hong Li: Entscheidung gegen eine Erneuerung des chinesischen Systems der Strafbarkeitsprüfung – Guangquan Zhou: Das Wesen der Rechtswidrigkeit und die Lehre vom Handlungsunwert unter Berücksichtigung des Standpunkts der gegenwärtigen chinesischen Strafrechtswissenschaft – Mingkai Zhang: Eine Untersuchung zur aberratio ictus – Jun Feng: Vom Begriff der Schuld im Strafrecht – Mingxiang Liu: Die Vollendung, der Versuch und die Unterbrechung eines Gefährdungsdelikts – Wangyuan Xie: Vom Einfluss der Kriminalpolitik auf die Strafrechtstheorie – Genlin Liang: Die Todesstrafe – Öffentliche Befürwortung, politische Entscheidung und Kontrolle

"Industrie 4.0" bringt diverse Risiken im Bereich der Datensicherheit und des Datenschutzes mit sich. Um diese zu identifizieren und zu analysieren werden zunächst die verschiedenen Erscheinungsformen des Cybercrime betrachtet, wobei insbesondere auf die gängigen Methoden des Hackings sowie die europäischen, deutschen und chinesischen Regelungen zur Bekämpfung dieser Kriminalitätsart eingegangen wird. Es werden Gesetzeslücken und Handlungsbedarf herausgearbeitet und eigene Lösungsvorschläge entwickelt. Zudem werden die wesentlichen Vorschriften und Neuerungen der DS-GVO im Vergleich zu der alten Fassung des BDSG dargestellt. Abschließend wird die Problematik des Sozialkreditsystems in China im Hinblick auf Big Data aufgezeigt.

ABSTRACTSelf‐efficacy refers to an individual's judgement, belief and perception of their capability to accomplish specific tasks, which is crucial for children's mental well‐being. The primary objective of this scoping review was to systematically examine intervention studies aimed at enhancing children's self‐efficacy in Mainland China, intending to inform social work practices in child services. We conducted a comprehensive search of articles in Web of Science and CNKI to review empirical intervention studies published before March 2022 in either Chinese or English. The selection criteria included all empirical intervention studies focused on improving self‐efficacy in children in Mainland China. A total of 17 studies were identified and included in the review. Among these, six studies focused on general self‐efficacy, while the remaining 11 examined domain‐specific self‐efficacy. Seven studies provided compensatory interventions to children facing adversity, five studies implemented preventive services, and another five offered developmental services to children in regular circumstances. Fourteen programmes exclusively served children, while three studies involved parents. Notably, most of the included interventions were facilitated by research teams from universities, with only one led by a social work department. Education modalities and comprehensive interventions were commonly used and found to be effective. The current state of intervention studies underscores the need for programmes that utilize effective strategies and approaches to enhance children's self‐efficacy. Social workers are encouraged to play both direct and indirect roles in services aimed at improving children's self‐efficacy.

<b><i>Background:</i></b> Lung cancer is one of the deadliest cancers, early diagnosis of which can efficiently enhance patient's survival. We aimed to screening out the serum miRNAs as diagnostic biomarkers for patients with lung cancer. <b><i>Methods:</i></b> A total of 416 remarkably differentially expressed miRNAs were acquired using the limma package, and next feature ranking was derived by the minimal-redundancy-maximal-relevance method. An incremental feature selection algorithm of a random forest (RF) classifier was utilized to choose the top 5 miRNA combination with the optimum predictive performance. The performance of the RF classifier of top 5 miRNAs was analyzed using the receiver operator characteristic (ROC) curve. Afterward, the classification effect of the 5-miRNA combination was validated through principal component analysis and hierarchical clustering analysis. Analysis of top 5 miRNA expressions between lung cancer patients and normal people was performed based on GSE137140 dataset, and their expression was validated by qPCR. The hierarchical clustering analysis was used to analyze the similarity of 5 miRNAs expression profiles. ROC analysis was undertaken on each miRNA. <b><i>Results:</i></b> We acquired top 5 miRNAs finally, with the Matthews correlation coefficient value as 0.988 and the area under the curve (AUC) value as 0.996. The 5 feature miRNAs were capable of distinguishing most cancer patients and normal people. Furthermore, except for the lowly expressed miR-6875-5p in lung cancer tissue, the other 4 miRNAs all expressed highly in cancer patients. Performance analysis revealed that their AUC values were 0.92, 0.96, 0.94, 0.95, and 0.93, respectively. <b><i>Conclusion:</i></b> By and large, the 5 feature miRNAs screened here were anticipated to be effective biomarkers for lung cancer.

Trustworthy Systems -- Secure and Efficient Agreement Signing atop Blockchain and Decentralized Identity -- A Privacy-preserving Credit Bank Supervision Framework based on Redactable Blockchain -- A Trusted Storage System for Digital Object in the Human-cyber-physical Environment -- The Rolf of Absorptive Capacity in the Blockchain Enabled Traceability Alignment: an Empirical Investigation -- Data Attest: A Framework to Attest Off-Chain Data Authenticity -- Blockchain-based Healthcare and Medicine Data Sharing and Service System -- BCSChain: Blockchain-Based Ceramic Supply Chain -- Blockchain -- A Highly Scalable Blockchain-enabled DNS Architecture -- Traceable Ring Signature Schemes Based on SM2 Digital Signature Algorithm and Its Applications in the Evidence-Storage System -- Blockchain-enabled Techniques for Energy Internet of Things: A Review -- Blockchain-based Social Network Access Control Mechanism -- Latency Analysis for Raft Consensus on Hyperledger Fabric -- A Survey of Blockchain-based Stablecoin: Cryptocurrencies and Central Bank Digital Currencies -- Collusion Attack Analysis and Detection of DPoS Consensus Mechanism -- Decentralized Blockchain Transaction Scheme based on Digital Commitment -- Private Computing -- Research on Abnormal Transaction Detection Method for Blockchain -- Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction -- A Blockchain-based UAV-assisted Secure Forest Supervision and Data Sharing System -- Suspicious Customer Detection on the Blockchain Network for Cryptocurrency Exchanges -- Real-time Detection of Cryptocurrency Mining Behavior -- Traffic Correlation for Deanonymizing Cryptocurrency Wallet Through Tor -- FL-MFGM: A Privacy-preserving and High-accuracy Blockchain Reliability Prediction Model -- Control-flow-based Analysis of Wasm Smart Contracts -- Blockchain Policy Tool Selection in China's Blockchain Industry Clustering Areas -- Lock-based Proof of Authority: A Faster and Low-Forking PoA Fault Tolerance Protocol for Blockchain Systems -- Phishing Fraud Detection on Ethereum Using Graph Neural Network.

AbstractIndividual attributes have been demonstrated to influence the entrepreneurial decisions of returnees, but little is known about the regional factors. This study employed a dual‐level logistic model to explore the effects of both individual characteristics and regional context on returnee entrepreneurship in China. The results indicated the significance of both individual‐level attributes and regional context in the entrepreneurial entry: regional prosperity, government fiscal expenditure, tax burden, rainfall, and transportation infrastructure significantly affected the entrepreneurial probability. This study extends the returnee entrepreneurship literature by first, elucidating the importance of regional context in entrepreneurship and second, highlighting the joint impact of economic, institutional, and geographical contexts.