bluuebunny/crossref_metadata_2025 huggingface dataset:
Grey comprehensive evaluation of development performance of provinces in China based on spatiotemporal probability function and variable weight strategy
Authors: Zhang Shaoguang , Liu Sifeng , Gatica Gustavo , Fang Zhigeng , Zhang Jingru
Published: March 2024

In the new stage of promoting high-quality economic development, the effect of the transformation of development momentum and the ability of sustainable development has become the key factors for the competitiveness of provinces in China. Especially in the context of the impact of COVID-19 and the obstacles of world trade protectionism, the sustainability of development performance is increasingly important. In the past, when evaluating the development performance of various provinces in China, a single index weight was usually used. In view of evaluation criteria, the lack of consideration of regional differentiation factors would result in the evaluation results deviating from reality. This paper introduces the entropy weight method to determine the weight of regional indicators of differentiated development. Based on the space-time probability function, a grey clustering evaluation model of regional development performance is constructed to conduct a comprehensive grey evaluation of the development performance of various provinces in China from 2009 to 2019. It is found that the new evaluation model can correct the deficiencies of similar probability functions and single index weight and obtain more accurate evaluation results. It’s found that the development performance evaluation results of each province are always in a dynamic adjustment process, which needs to be verified with the help of subsequent expansion analysis.
Lean management approach in health sector: MCDM model proposal to prevention of waste
Authors: Yücenur G. Nilay , Şentürk Selin , Taşpatlatanlar Ece
Published: March 2024

Lean manufacturing in the manufacturing sector corresponds to lean management in the service sector. When health services are considered, it is seen that the concepts that are important in the manufacturing sector have the same importance for health services. Because waste is the main problem of every sector. Lean management approach in the health sector enables improvements by developing solutions to many other problems of healthcare professionals, patients and hospitals, such as reducing transaction costs, ensuring patient safety, and reducing processing times. This study was carried out with the aim of establishing a lean health system by selecting the most appropriate lean management methodology in order to identify and prevent waste in health processes and to increase efficiency and service quality. In the study, the evaluation of lean methodologies that can be applied to prevent waste in health services is considered as a multi-criteria decision-making problem and a model has been proposed. In the proposed model, wastes were determined as research criteria and lean methodologies were determined as research alternatives. The solution phase of the problem was carried out in two stages with multi-criteria decision-making techniques. In the solution phase, the importance weights of 24 decision criteria were calculated with the SWARA method, while 5 alternatives were evaluated based on the decision criteria with the WASPAS method and the most suitable alternative was selected.
The effect of government regulations through competitiveness on the the performance of textile companies
Authors: Situmorang Erwin , Nidar Sulaeman Rahman , Anwar Mokhamad , Sutisna Sutisna
Published: March 2024

This study examines the role of government regulation on competitiveness and its impact on the performance of companies that have been designated as bonded zones. Bonded zone regulations provide several conveniences such as: delaying the payment of taxes on imported goods, accelerating customs duties, and exempting import permits are expected to improve company performance. Until 2019, 493 textile companies had been designated as bonded zones in Indonesia. But in reality, there are still companies designated as bonded zones that have low financial performance. This research uses 204 textile companies designated as bonded zones in Indonesia. The data were obtained from questionnaires filled out by company representatives. Data were analysed using a statistical test tool. This study finds that government regulations have a greater influence on the performance of textile companies mediated by power competition. The government must make regulations that can support increased competitiveness to improve company performance.
Factors affecting the decision of selection the green growth: The case of business firms and its accountancy policy
Authors: Hang Pham Thi Thuy
Published: March 2024

Economic development is required to be associated with sustainable environmental protection and is considered as an urgent need in the current period. Research on the factors that determine the use of green production activities is carried out in Vietnam through a survey of 202 businesses, through Cronbach's alpha reliability analysis method, exploring EFA factors and regression analysis, research results show that the benefits of green growth, the effectiveness of communication and the quality of human resources have a positive impact on promoting green growth, while there is no influence of state policies on green growth.
Synthesis and Characterization of Cadmium Oxide NPs using Sapindus mukorossi (Soapnut) as natural surfactant
Authors: Kumar Arora Avnish
Published: March 2024

The synthesis of cadmium oxide nanoparticles has been carried out in the presence of Sapindus mukorossi (Soapnut) as a surfactant and the characterisation of the synthesized nanoparticles has been carried out using analytical techniques such as XRD, magnetic studies and SEM. The synthesised cadmium oxide was CdO. The structure of the CdO was face-centred cubic. Magnetic susceptibility measurements showed that there were no unpaired electrons in CdO. Hence, CdO is diamagnetic in nature. The exact size of the cadmium oxide was found using SEM. The size of the oxide was from 28 nm to 50 nm.
STRATEGI KOMUNIKASI BIRO PELITBANG DALAM MENINGKATKAN SIKAP ENTREPRENEUR GENERASI MUDA DI PONDOK PESANTREN AL IHYA ULUMADDIN KESUGIHAN CILACAP
Authors: Nur Sabi’is  , Muchamad Taufiqurrocham Abdul Aziz Zein
Published: March 2024

Dalam menjalanil kehidupannya seseorangl tidak akanl terlepas daril yang namanyal komunikasi. Sepertil yang dilakukanl oleh pihakl Pondok Pesantrenl Al-Ihyal ‘Ulumaddin Kesugihanl Cilacap dalaml upaya meningkatkan sikap entreprenenur para generasi mudanya. Dalam menghadapi revolusi industry santri di tuntut untuk berperan aktif serta mandiri di segala tatanan kehidupan. Tanpa meninggalkan tugas utamanya yaitu mengaji. Selain itu juga untuk membekali santri dalam bidang enterpreneurship, supaya nantinya tidak gagap ketika sudah hidup di masyarakat, bukan hanya bisa membaca Kitab Kuning, akan tetapi lihai dalam dunia enterpreneur. Tujuanl dari penelitianl ini adalahl untuk mengetahuil strategi komunikasil Biro Pelitbang yang digunakanl oleh Pondokl Pesantren All Ihya ‘Ulumaddin dalaml meningkatkan sikap entreprenenur generasi muda melalui kegiatan pelatihan, keterampilan dan pengembangan (Pelitbang). Pendekatanl yang digunakanl dalam penelitianl ini adalahl pendekatan kualitatifl yang menjelaskanl fenomena yangl sedalam-ldalamnya. Penelitian inil menggunakan teoril komunikasi linterpersonal. Subjek dalaml penelitian inil adalah Pondokl Pesantren All Ihya ‘Ulumaddinl dan Biro Pelitbang. Teknikl pengumpulan datal yang digunakanl ialah lobservasi, wawancara danl dokumentasi. Sedangkanl untuk analisisl data penelitil menggunakan modell Milles andl Hubermen melaluil tahap reduksil data, penyajianl data danl penarikan lkesimpulan. Secara lumum, tujuan pokokl di adakanya kegiatan pengembanganl adalah agarl para santril dapat mengembangkanl potensi yangl ada padal dalam dirinya, terkaitl dengan ilmul pengetahuan danl keterampilan. Pondokl pesantren secaral umum mempunyail peranan sebagail lembaga pendidikanl non formall yang mempunyail andil besarl terhadap terbentuknyal individu musliml yang menguasail ilmu lagama, berpengetahuan luasl dan ber-akhlakull karimah (mempunyail akhlak yangl terpuji) sehinggal mampu untukl mengaplikasikan ilmunyal dalam kehidupanl bermasyarakat.
The Effect of ICT on the Development of Bank Branches in the WAEMU Zone: An Application of Negative Binomial Regression
Authors: PRAO Yao Séraphin , OUATTARA Tanmantchin Brice-Wilfried
Published: March 2024

The main objective of this study is to analyze the effect of ICT on the number of bank branches in the WAEMU. Based on the total of eight (08) member countries of the union, from 1995 to 2022, it employs the negative binomial (BN) regression method for the estimations. The results of the study show that among the ICT variables selected, only mobile and fixed-line telephone subscriptions have a statistically significant and positive effect on the number of bank branches in the union. The Internet and the number of ATMs have no significant effect on the number of branches, although they remain negatively correlated with the number of bank branches. On the other hand, the number of banking institutions and the size of these banks encourage the opening of new bank branches.
A New Model of Talent Cultivation through University-Industry Co-operation: Innovation of Teaching Methods for Digital Media and Film Majors
Authors: Dong Jun
Published: March 2024

This study endeavors to delve into the reform and innovation of the teaching methodology for digital media and film majors. The pressing demands of the rapidly evolving media industry, coupled with the inherent limitations of traditional teaching approaches, underscore the imperative need for a paradigm shift in media majors' instructional methods.The exposition begins by elucidating the fundamental concepts, characteristics, and the untapped potential of the University-Industry Cooperation talent cultivation model in media education. The discourse subsequently hones in on the innovation and optimization of teaching content and methodologies within the context of the University-Industry Cooperation talent cultivation model, emphasizing the pivotal role played by practical skill development. Through a meticulous analysis and evaluation of innovative strategies, the study posits recommendations for further refinement and enhancement.The findings underscore the vital significance and untapped potential of applying the University-Industry Cooperation Talent Cultivation Mode in media education, showcasing its efficacy in fostering comprehensive skill development and augmenting students' practical capabilities. This study serves as a crucial reference for media educators, fostering the ongoing reform and innovation in teaching methods and offering a glimpse into future research trajectories.
Nomogram based on multimodal magnetic resonance combined with B7-H3mRNA for preoperative lymph node prediction in esophagus cancer
Authors: Xu Yan-Han , Lu Peng , Gao Ming-Cheng , Wang Rui , Li Yang-Yang , Guo Rong-Qi , Zhang Wei-Song , Song Jian-Xiang
Published: March 2024

BACKGROUND

Accurate preoperative prediction of lymph node metastasis (LNM) in esophageal cancer (EC) patients is of crucial clinical significance for treatment planning and prognosis.

AIM

To develop a clinical radiomics nomogram that can predict the preoperative lymph node (LN) status in EC patients.

METHODS

A total of 32 EC patients confirmed by clinical pathology (who underwent surgical treatment) were included. Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy, and its correlation with LNM was analyzed. Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python. Feature extraction, data dimensionality reduction, and feature selection were performed using XGBoost model and leave-one-out cross-validation. Multivariable logistic regression analysis was used to establish the prediction model, which included radiomics features, LN status from computed tomography (CT) reports, and B7-H3 mRNA expression, represented by a radiomics nomogram. Receiver operating characteristic area under the curve (AUC) and decision curve analysis (DCA) were used to evaluate the predictive performance and clinical application value of the model.

RESULTS

The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis, and the difference was statistically significant (P < 0.05). The AUC value in the receiver operating characteristic (ROC) curve was 0.718 (95%CI: 0.528-0.907), with a sensitivity of 0.733 and specificity of 0.706, indicating good diagnostic performance. The individualized clinical prediction nomogram included radiomics features, LN status from CT reports, and B7-H3 mRNA expression. The ROC curve demonstrated good diagnostic value, with an AUC value of 0.765 (95%CI: 0.598-0.931), sensitivity of 0.800, and specificity of 0.706. DCA indicated the practical value of the radiomics nomogram in clinical practice.

CONCLUSION

This study developed a radiomics nomogram that includes radiomics features, LN status from CT reports, and B7-H3 mRNA expression, enabling convenient preoperative individualized prediction of LNM in EC patients.
邊緣性人格疾患之情緒敏感度與負向情感：論情緒調節的角色
Authors: 葉在庭 葉在庭 , Zai-Ting Yeh 曾亦涵 , Yi-Han, Tseng 劉珣瑛
Published: March 2024

背景：邊緣性人格疾患是一種以情緒調節失功能為主要臨床特徵的人格疾患，但目前較少有文獻探討該疾患在情緒調節失功能的整體架構。本研究探討情緒敏感度和情緒調節不良可預測邊緣性人格疾患者的負面情緒，以及情緒調節不良在情緒敏感度和負面情緒之間扮演中介角色。材料與方法：參與者31名邊緣性人格疾患者，其中包括女性26名，男性5名，平均年齡33.35歲。所有參與者都完成了邊緣性人格特質問卷、社會覺察推論測驗情的緒評估分測驗、正負向情感量表以及情緒調節困難量表。結果：中介分析表明，有限的情緒調節策略在焦慮情緒敏感度和整體負向情感之間有中介效果，衝動控制困難為焦慮情緒敏感度和緊張不安的中介變項，以及不接受情緒反應中介了嫌惡情緒敏感度和罪惡。結論：本研究的發現有重要的治療意義，即在治療中，如何使該疾患學習具適應性的情緒調節策略、接納自己的情緒、與避免自毀式的衝動行為應被視為介入的首要目的，此外如何降低該疾患對他人情緒表達的敏感度亦可作為治療介入的焦點之一。

 

Objective: Borderline personality disorder (BPD) is characterized by negative affect, including hostility, jitters, distress, guilt, and scared. The present study pro-posed that emotion sensitivity and emotional dysregulation predict negative affect in patients with BPD, and that emotional dysregulation mediates the relationship be-tween emotion sensitivity and negative affect. Method: Participants 31 BPD patients include 26 female and 5 male, with average age of 33.35 years old. All participants completed the Borderline Personality Inventory, the Emotion Evaluation Subtest, Positive and Negative Affect Schedule, and Difficulties in Emotion Regulation Scale. Results: Mediation analysis indicated that limited access to emotion regulation strategies mediated the relationship between anxiety sensitivity and overall negative affect, impulse control difficulties mediated the relationship between anxiety sensi-tivity and jitters, and non-acceptance of emotional responses mediated the relation-ship between aversion sensitivity and guilt. Conclusions: This has significant treat-ment implications, highlighting that learning skills in managing and regulating emo-tions, accepting one’s emotions, and avoiding self-destructive impulse behavior should be targets of intervention. Another implication of this finding is the im-portance of providing intervention to reduce emotion sensitivity in social interac-tions.

 
自發性顱內低壓頭痛使用硬腦膜外血液貼片治療發現硬腦膜外液體─病例報告
Authors: 洪銚辰 洪銚辰 , 陳瑞源 陳瑞源 , 廖文瑋 廖文瑋
Published: March 2024

自發性顱內低血壓頭痛(SIH)是一種體位性(姿勢性)頭痛，大多因腦脊髓液(CSF)在脊椎段發生滲漏造成，通常在核磁共振成像(MRI)可發現滲漏。本病例報告一名自發性顱內低血壓頭痛患者，在MRI上發現於胸部脊柱椎體(T1)以下後硬膜外腔腦脊髓液滲漏，並接受了腰椎穿刺以排除腦膜炎。此病患經過保守治療之後無效、在核磁共振檢查之後第5天，患者在腰椎硬膜外血液貼片(LEBP)治療時，於腰椎硬膜外腔(L3-4)中發現了一些腦脊髓液並接受腰椎硬膜外血貼片治療改善病情。我們討論了自發性低顱內壓頭痛的病理生理學、提出的病因和治療方法、腰椎硬膜外血液貼片治療的安全性以及一位在脊椎目標滲漏區間遠處發現硬脊膜外腦脊髓液滲漏之罕見病例。

 

Spontaneous intracranial hypotension headache (SIH) is a phenomenon com-bined with postural headaches, cerebrospinal fluid (CSF) leakage often at spine level on magnetic resonance imaging (MRI). We present a patient with SIH with CSF leakage blow thoracic (T1) spine vertebral level presence of posterior epidural space CSF on MRI and received lumbar puncture to excluded meningitis. The patient re-ceived conservative treatments but in vain. Some CSF was found in lumbar epidural space (L3-4) during aempiric lumbar epidural blood patch (LEBP) treatment 5 days later. The patient was pain relief immediately. We discuss the pathophysiology, pro-posed etiologies and treatments, and safety of LEBP anesthesia in spontaneous in-tracranial hypotension, and a rare case is found CSF far away to the target CSF leakage site.

 
Yu Yan or Fable: The Earliest Introductions to The Canterbury Tales in China
Authors: Zhang Lian
Published: March 2024

Yu yan is a way of argumentation and writing style, and has a history of over two thousand years in China. In the twentieth century, yu yan has developed into a literary genre similar to fable. This article argues that the two sets of Chinese translations of The Canterbury Tales by Sun Yuxiu and Lin Shu provide an important point to examine the shifting understanding of yu yan, and they reflect the Chinese cultural conflicts during the socially transitional period in the early twentieth century. These translations possess important features of a transformed fable and developed yu yan. They are creations as well as translations, to which the translators add their political and social expectations while moralizing. By exploring briefly the definitions of yu yan and fable, and studying the translations of the tales, their source texts, and the translators’ biographies, this article attempts to illustrate that the translators do not regard yu yan and fable as equivalent literary terms, and they put emphasis on the native Chinese literary traditions and cultural values in the process of Chinese literary modernization.
Rezension von: Magen, Ferdinand, Reichsgräfliche Politik in Franken
Authors: Beutter Wilfried , Magen Ferdinand
Published: March 2024

Ferdinand Magen: Reichsgräfliche Politik in Franken. Zur Reichspolitik der Grafen von Hohenlohe am Vorabend und zu Beginn des Dreißigjährigen Krieges (Forschungen aus Württembergisch Franken Band 10). Schwäbisch Hall 1975. 347 S. DM 25,-
Rezension von: Weber, Hartmut, Die Fürsten von Hohenlohe im Vormärz
Authors: Wunder Gerd , Weber Hartmut
Published: March 2024

Hartmut Weber: Die Fürsten von Hohenlohe im Vormärz. Politische und soziale Verhaltensweisen württembergischer Landesherren in der 1. Hälfte des 19. Jahrhunderts (Forschungen aus Württ. Franken Band 11). 1977. 343 S. DM 25,-.
Rezension von: Hörber, Willi u.a. (Bearb.), Die Urkunden des Stiftes Feuchtwangen
Authors: Schnurrer Ludwig , Hörber Willi
Published: March 2024

Die Urkunden des Stiftes Feuchtwangen 1209-1563 (-1790), bearbeitet von Willi Hörber und Friedrich Bruckner. Dinkelsbühl 1970 (bzw. 1972). 450 Seiten und 35 Seiten Register.
Rezension von: Maschke, Erich, Die deutschen Kriegsgefangenen des Zweiten Weltkriegs
Authors: Wunder Gerd , Maschke Erich
Published: March 2024

Die deutschen Kriegsgefangenen des Zweiten Weltkriegs. Eine Zusammenfassung. Von Erich Maschke in Verbindung mit 6 weiteren Autoren. (Zur Geschichte der deutschen Kriegsgefangenen des 2. Weltkrieges Band 15). München 1974. 446 S. DM 48,-.
Rezension von: Schöck, Gustav, Die Aussiedlung landwirtschaftlicher Betriebe
Authors: Schumm Marianne , Schöck Gustav
Published: March 2024

Gustav Schöck: Die Aussiedlung landwirtschaftlicher Betriebe. (Untersuchungen des Ludwig-Uhland-Instituts der Universität Tübingen. 31. Bd.) 1972, 223 S.
Rezension von: Eschenburg, Theodor u.a. (Hrsg.), Republik im Stauferland
Authors: Wunder Gerd , Eschenburg Theodor
Published: March 2024

Republik im Stauferland. Baden-Württemberg nach 25 Jahren. Hrsg. v. Theodor Eschenburg und Ulrich Frank-Planitz. Stuttgart: DVA 1977, 233 S. 111. DM 39,80.
Rezension von: Patze, Hans u.a. (Hrsg.), Hohes und spätes Mittelalter ...
Authors: Wunder Gerd , Patze Hans
Published: March 2024

Geschichte Thüringens: Herausgegeben von Hans Patze und Walter Schlesinger. 2. Band: Hohes und spätes Mittelalter. I. Teil. 1974. 520 S. - II. Teil. 1973. 428 S. Köln-Wien: Böhlau Verlag
Rezension von: Württembergischer Museumsverband (Hrsg.), Museen in Baden-Wuerttemberg
Authors: Mildenberger Hermann , Württembergischer Museumsverband
Published: March 2024

"Museen in Baden-Württemberg”. Herausgegeben vom Württ. Museumsverband e.V. Stuttgart mit Unterstützung des Landesdenkmalamtes Baden-Württemberg. Stuttgart und Aalen, 1977, Konrad Theiss Verlag. 356 S. 95 Abb. 72 111. DM 22,-.
Rezension von: Ensslin, Helmut, Bopfingen
Authors: Wunder Gerd , Ensslin Helmut
Published: March 2024

Bopfingen. Freie Reichsstadt - Mittelpunkt des württembergischen Rieses. Eine Geschichte der Stadt von Helmut Enßlin mit ergänzenden Beiträgen (von 5 weiteren Autoren). Stuttgart: Theiß 1971. 269 S. Ill. DM 24,-.
Rezension von: Helm, Reinhard, Die Würzburger Universitätskirche
Authors: Neumaier Helmut , Helm Reinhardt
Published: March 2024

Reinhard Helm: Die Würzburger Universitätskirche 1583-1973. (Quellen und Beiträge zur Geschichte der Universität Würzburg. Bd. 5), Neustadt/Aisch 1973
Rezension von: Häussermann, Friedrich, Theologia Emblematica
Authors: Zieger Andreas , Häußermann Friedrich
Published: March 2024

Friedrich Häusermann: Theologia Emblematica. Kabbalistische und alchemistische Symbolik bei Fr. Chr. Oetinger und deren Analogien bei Jakob Boehme. (Blätter für württembergische Kirchengeschichte. 68/69. Jg.) Sonderdruck o.J.
Rezension von: Sohnle, Werner Paul, Gelehrtenwirtschaft hinter Schloss und Riegel
Authors: Finke Karl Konrad , Sohnle Werner Paul
Published: March 2024

Werner Paul Sohnle: Gelehrtenwirtschaft hinter Schloß und Riegel. Die Universitätisbibliothek Tübingen am Anfang des 19. Jahrhunderts (1798-1836). Contubernium Bd. 9. - Tübingen: Mohr (Siebeck) 1976. 136 S., 26 Abb.
Rezension von: Beuttenmüller, Otto (Hrsg.), 127. Feyerabendstiftung in Schwäb. Hall
Authors: Wunder Gerd , Beuttenmüller Otto
Published: March 2024

Nachtrag zu Ferd. Friedr. Fabers Württembergischen Familienstiftungen 5 (hrsg. D.Dr. Otto Beuttenmüller): 127. Feyerabend-Stiftung in Schwäbisch Hall. Verein für Familien- und Wappenkunde in Württemberg und Baden. 1976. 231 S. 4 Abb., 3 Tfl. DM 12,-.
Rezension von: Jahrbuch für fränkische Landesforschung Bd. 37
Authors: Zieger Andreas
Published: March 2024

Jahrbuch für fränkische Landesforschung. Hg. vom Zentralinstitut für fränkische Landesforschung und allgemeine Regionalforschung an der Universität Erlangen-Nürnberg. Bd. 37. Neustadt (Aisch) 1977. DM 39,80.
Competency management: a study on mapping the competency profile of technical-administrative servers in education at UTFPR
Authors: Cavalheiro Daniela , Bertogna Eduardo Giometti , Neli Roberto
Published: March 2024

This research aims to present a study on mapping the competencies of Technical-Administrative Servers in Education at the Federal Technological University of Paraná, Campo Mourão Campus. This tool will support the implementation of the competency management model in the development and training of staff, aligned with the institutional objectives outlined in the Institutional Development Plan of UTFPR (PDI). Through the analyses, the goal is to enhance qualification actions through the collective construction of institutional activities and assist in strategic decision-making, thereby generating public value in delivering quality services by organizations.
Peningkatan potensi pendapatan desa melalui pengelolaan tempat wisata serta kegiatan penghijauan pada Desa Selemak Kab. Deli serdang
Authors: Surbakti Syamsul Bahri , Daulay Akman , Puspa Sri , Sinto  , Seniwati  , Sukarsih  , Fazri Muhammad
Published: March 2024

The Mandiri Program, a government initiative, aims to increase the potential of existing villages in Indonesia by focusing on their development and increasing their contribution to employment and community development. One such village is Selemak Village located in Deli Serdang, North Sumatra, and has a main water source called Taman Prima Wisata Edukasi. This water source is important for the community to maintain environmental health and increase cooperation among members, leaders, and stakeholders. Community development tasks include socialization to increase village water potential and carry out environmental conservation activities around the main water sources. The implementation of environmental conservation activities includes mapping, discussion, and conservation activities around the location of water sources. The main objective is to understand the potential of the village and its role in conservation efforts around the location of water sources
Stock prediction and analysis based on machine learning algorithms
Authors: Li Tianhao
Published: March 2024

The stock market has consistently remained a focal point of substantial concern for investors. Nevertheless, due to the intricate, tumultuous, and often noisy nature of the stock market, forecasting stock trends presents a formidable obstacle. To augment the accuracy of stock trend predictions, the author adopts a combination of the Long Short-Term Memory (LSTM) neural network and a noise reduction technique known as Ensemble Empirical Mode Decomposition (EEMD). This composite model is employed to develop predictions for the daily stock price increases, aiming to provide more precise insights into market behavior. The framework is capable of generating the daily stock price change trend curve based on the training outcomes. EEMD, standardization, and other data preprocessing methods can effectively reduce the noise of the stock market. In this paper, three U.S. stocks from 2010 to 2023 are chosen as the research subjects. After the training is completed, the prediction curve generated by the model closely aligns with the actual curve. Furthermore, three commonly used evaluation metrics were utilized to assess the models performance. Based on all those experimental outcomes, this model adeptly forecasts the stocks trend.
Analysis and prospects of automobile intelligent assisted driving characteristics based on FPGA technology
Authors: Yue Peiyi
Published: March 2024

This article provides a comprehensive exploration of the pivotal role that field-programmable gate arrays (FPGAs) play in the advancement of autonomous driving technology. FPGAs, which made their debut in the early 1980s, have emerged as a crucial component in this field, owing to their robust parallel processing capabilities, real-time data analysis capabilities, and exceptional customizability. With the ever-increasing demand for autonomous driving solutions, the adoption of FPGAs has become indispensable in meeting the requirements for high-speed data processing and instantaneous response times. Within these pages, we delve into the significant role that FPGAs assume in elevating intelligent driving systems, offering a deep dive into this subject through meticulous case studies and technical insights. This article casts a spotlight on several compelling instances where FPGAs shine, notably in adaptive cruise systems, obstacle recognition, automatic emergency braking, and intelligent parking assistance, achieved through seamless integration with YOLO technology. These real-world examples serve to underscore the pivotal role that FPGAs play in ensuring road safety and propelling technological advancement in the realm of autonomous driving.
The evolution and current frontiers of path planning algorithms for mobile robots: A comprehensive review
Authors: Yang Weihua
Published: March 2024

The success of robotics heavily relies on path planning, which is a crucial link between computational processes and actual robot actions. This review deeply explores the evolution of path-planning algorithms tracing their development from strategies to advanced and adaptable methodologies powered by artificial intelligence. Moreover, this paper examines techniques like grid-based methods and potential fields, discussing their strengths and inherent limitations. Moving forward, this review delves into the game-changing potential of methods highlighting advancements such as Probabilistic Roadmaps (PRM) and Rapidly-exploring Random Trees (RRT). Furthermore, this paper dissects the impact of intelligence on path planning emphasizing the synergy between machine learningparticularly deep reinforcement learningand robotic navigation. This review also sheds light on the challenges faced by these algorithms, including real-world implementation hurdles and potential risks associated with reliance on AI-centric approaches. Lastly, this study offers insights into trends. Speculate how emerging technologies like quantum computing may shape next-generation path planning. With its overview, this review aims to be a resource for researchers, academics, and practitioners interested, in exploring the vast realm of robotic path planning.
A multi-objective optimization model for the location of cold chain logistics distribution center based on trust domain optimization algorithm
Authors: Zhou Wan
Published: March 2024

Cold chain transportation refers to a logistics method that transports fresh, perishable, and perishable items from the place of production, processing or warehouse to the place of consumption under certain temperature conditions. As consumers have higher and higher requirements for food safety and quality, the cold chain logistics industry has also developed rapidly. However, the high cost of cold chain logistics, the difficulty of technology, the difficulty of ensuring service quality and other problems have also arisen, and how to optimize cold chain transportation has become a hot issue in the cold chain logistics industry. Cold chain transportation optimization refers to the premise of ensuring the quality and safety of goods, through reasonable transportation paths, transportation methods, temperature control and other measures, to minimize the cost of cold chain transportation, improve efficiency and service quality. In order to achieve the optimization of cold chain transportation, it is necessary to establish a reliable cold chain logistics distribution center to ensure the safety and quality of goods during transportation. In order to solve the problem of location selection of cold chain logistics distribution center, this paper first defines the service reliability and calculation method of cold chain distribution center. Then, the location model of the cold chain logistics distribution center and the trust domain optimization algorithm model were established. The model aims to minimize the total cost, while considering multiple factors such as transportation distance, temperature control, facility construction, etc., to ensure the reliability and operational efficiency of the cold chain logistics distribution center. Finally, this paper introduces an example for calculation to prove the feasibility and universality of the model in the location problem of cold chain logistics distribution center. Through the calculation of examples, it can be seen that the model can effectively reduce the cost of cold chain transportation and improve the service quality and efficiency of cold chain logistics distribution center. In summary, this paper proposes a reliable location model and trust domain optimization algorithm model for cold chain logistics distribution centers to solve the challenges faced by the cold chain logistics industry. This model can provide guidance for cold chain logistics companies to gain a greater advantage in a highly competitive market.
The influence of leg length and individual mass in the spring-mass running model
Authors: Dai Peilin
Published: March 2024

This study explored how leg length and body weight affect running performance in a context based on using a spring-mass running model. Through extensive reading and an in-depth understanding of the literature, this study proposed that lower body weight may improve running efficiency for runners with longer legs. In comparison, for runners with shorter legs, higher body weight may improve their running stability. To test this hypothesis, this study conducted a series of simulation experiments using MATLAB to simulate the running performance of runners with different leg lengths and weights. Our results show that leg length and body weight do have a significant effect on running performance, but the direction of this effect may depend on the runner's body weight. These findings provide a new perspective for understanding the biomechanical basis of running performance and provide a basis for further research. However, there are some limitations to our study, such as the fact that our model may not fully capture the complexity of actual running movements. Future research will need to explore these issues further and take into account other factors that may affect running performance.
A real-time approximation algorithm of nonlinear filtering based on image pyramid
Authors: Tian Zhihao , Wang Weidong
Published: March 2024

In the field of real-time rendering, post-processing filters are crucial techniques for achieving global illumination and photorealistic rendering in real-time rasterization and ray tracing rendering pipelines. Due to the power consumption limitations and insufficient memory bandwidth of mobile devices, filters can cause significant performance bottlenecks. To reduce the cost of filters on mobile devices, this paper proposes a real-time approximation method for nonlinear filtering. Our method reduce the number of texture samplings and memory usage. Through experiments conducted on mobile devices, it has been demonstrated that the proposed method can effectively reduce the number of texture samplings in feature images within scenes of similar complexity, as compared to mainstream industrial methods. This reduction in texture samplings leads to improved rendering quality while maintaining the same frame rate. Our method eliminates performance bottlenecks and enhances the quality of global illumination on mobile devices. By reducing the computational complexity of the non-linear filter, it provides users with a smoother experience.
Data statistical analysis on Amazon e-commerce platform for recommender system
Authors: Huo Zheng
Published: March 2024

Recommendation systems are a crucial element in engaging users and maintaining their engagement with e-commerce platforms. By recommending products or services that are likely to be relevant to each user's interests and preferences, the system can help maintain user interest and encourage them to spend more time on the platform. This work analyzes the principles of several off-the-shelf recommendation models, including the collaborative filtering model, the singular value decomposition model, and the rating-based collaborative filtering model. These models play a crucial role in the field of recommendation systems for e-commerce. To gain further insights from the comments of various merchandise items, sentiment analysis techniques and word cloud analysis are applied. Evaluation of these results demonstrates the critical role of recommender systems in shaping the future landscape of e-commerce. Sentiment analysis allows us to identify patterns in user feedback and understand how different factors influence user satisfaction with products or services. Word cloud analysis provides a visual representation of the most frequently mentioned features or keywords in the comments, allowing us to identify trends and patterns in user behavior. By combining these techniques with traditional recommendation models, more accurate and personalized recommendations could be made that better meet user needs and enhance their shopping experience on e-commerce platforms.
Comparative analysis of strategies of knowledge distillation on BERT for text matching
Authors: Yang Yifan
Published: March 2024

Large language model is a highly effective and promising language model technology that can improve the performance and robustness of natural language processing tasks. As a representative work, Bidirectional Encoder Representations from Transformers (BERT) has excellent performance in various natural language processing tasks. This model is pre-trained on large-scale language dataset and has gained attention from all walks of life since its introduction. However, its huge number of participants and scale make its performance in mobile very limited. As an effective technique to compress neural network, knowledge distillation can obtain a lightweight model with smaller parameters without losing too much model performance. Therefore, distillation of BERT models has been started, aiming at obtaining lightweight BERT models. In this paper, we will introduce several common BERT distillation models and analyse their model architecture, distillation process, and finally the compression efficiency and model effectiveness. It is concluded that the process of increasing recompression efficiency is often accompanied by decreasing model effectiveness.
Machine learning algorithms in the development of recommender systems
Authors: Guan Naihao
Published: March 2024

With the continuous development and widespread use of the Internet, individuals often find themselves overwhelmed by the vast amount of information available. To address this issue and better cater to users' personalized needs, recommender systems have emerged. A recommender system is a technology that provides users with customized content or services based on their preferences and interests. Its primary goal is to predict user behavior as accurately as possible in order to recommend relevant items. Machine learning algorithms play a crucial role in the functioning of recommender systems. These algorithms not only automatically analyze and process large volumes of data but also extract valuable features from historical data, enabling accurate predictions for unknown data. The rapid progress of deep learning technology has significantly enhanced the accuracy and efficiency of recommender systems. Deep learning enables recommender systems to better grasp user behavior, interests, and preferences, leading to more precise predictions of user needs and behaviors. Furthermore, deep learning can handle unstructured data such as images, audio, and text, extracting valuable features to improve recommendations. In the future, as machine learning and artificial intelligence technologies continue to advance and gain popularity, recommender systems will find broader applications. Apart from the traditional e-commerce sector, recommender systems can also be applied to social networks, news media, online education, and other fields. Simultaneously, in the research and implementation of recommender systems, due attention must be given to user privacy protection and data security. Only by ensuring user privacy and data security can recommender systems effectively meet user needs and gain wider acceptance.
Apple leaf diseases recognition based on ResNet-101 and CBAM
Authors: Lin Renyi
Published: March 2024

Early identification and management of plant diseases is crucial to raising crop quality and yield. In order to create an effective deep learning model for autonomous apple leaf diseases identification, the issue of recognizing and classifying apple leaf infections is the main focus of this investigation. To improve the detection performance of the model, Convolutional Block Attention Module (CBAM) is added to the ResNet-101 deep convolutional neural network (CNN) model utilized in this work. According to the experimental findings, the ResNet-101 model with Convolutional Block Attention Module exhibits excellent performance when attempting to diagnose problems in apple leaves. Specifically, the ResNet-101+CBAM model outperforms the standard ResNet-101 model in the disease categories of 'Brown spot', 'Grey spot', 'Health' and 'Rust'. In some disease categories, such as 'Powdery mildew', the performance enhancement of the module (CBAM) is relatively insignificant due to the confusion caused by the similarity of features between the categories. Further analysis showed that the data enhancement technique had a significant positive impact on model performance.
A new frontier in electronics manufacturing: Optimized deep learning techniques for PCB image reconstruction
Authors: Wang Qianyue
Published: March 2024

In the rapidly evolving electronics manufacturing sector, maintaining quality control and conducting failure analysis of Printed Circuit Boards (PCBs) are critical yet challenging tasks. This study presents a groundbreaking self-supervised learning framework to address existing gaps in the reconstruction of encoded or blurred Printed Circuit Board images. By leveraging a customized DeepLabV3+ architecture with depth-wise separable convolutions, our model is engineered to autonomously learn intrinsic Printed Circuit Board features, eliminating the need for manual data labeling. This not only alleviates computational burden but also ensures robust performance. Augmented by feature quantization and channel reduction techniques, our model stands out as both lightweight and resilient, making it highly adaptable for Printed Circuit board imaging. To validate the framework, a tailored dataset comprising raw and encoded Printed Circuit board images from diverse sources was assembled and further refined to match real-world industrial standards. Our model demonstrates unparalleled efficacy in Printed Circuit board image reconstruction, establishing a new benchmark for the field.
The Visions of a Visionary—Girish Karnard’s Play The Dreams of Tipu Sultan
Authors: Warda Wahaj Unnisa , Karim Mohammad Rezaul
Published: March 2024

Indian playwright Girish Karnad seeks to challenge the conventional historical portrayal of Tipu Sultan in his play Dreams of Tipu Sultan by emphasizing Tipu’s personal and psychological experiences. As a pioneering playwright known for blending diverse theatrical styles, Karnad integrates real historical events with creative storytelling to present Tipu Sultan as a complex figure deserving of both respect and empathy. The play begins not with the central character of Tipu Sultan, but with two historians, Mysorian Kirmani and the British Colin Mackenzie. These historians serve as a lens through which the audience can explore and question the traditional narratives surrounding Tipu Sultan’s life and reign. They raise important inquiries about the authenticity of historical accounts and traditional narratives and encourage a more nuanced understanding of Tipu Sultan’s motivations, relationships, and inner world. By delving into the personal and psychological experiences of Tipu Sultan, Karnad invites us to question and reevaluate our understanding of history, new historicism, and the human portrayal of the historical figure Tipu Sultan.
Ảnh hưởng của công bố thông tin nguồn nhân lực tới kết quả tài chính của các doanh nghiệp niêm yết Việt Nam
Authors: Phạm Đức Hiếu
Published: March 2024

Bài viết kiểm định ảnh hưởng của công bố thông tin nguồn nhân lực tới kết quả tài chính của các doanh nghiệp niêm yết trên thị trường chứng khoán Việt Nam. Trong đó: (1) kết quả tài chính được xác định theo hai cách tiếp cận: đo lường bằng thước đo kế toán (ROA) và đánh giá của thị trường (MB); (2) công bố thông tin nguồn nhân lực phản ánh bằng chỉ số công bố thông tin chung (HRID) và 5 chỉ số thành phần (TRAINID, HEALID, EMPID, WORKID, MGTID). Các biến kiểm soát gồm: (1) quy mô (SIZE), (2) đòn bẩy tài chính (LEV) và (3) tốc độ tăng trưởng doanh thu (SGROW). Phân tích hồi quy dữ liệu bảng theo mô hình FEM cố định biến thời gian và ngành nghề cho thấy ảnh hưởng thuận chiều có ý nghĩa thống kê của chỉ số công bố thông tin chung và chỉ số công bố thông tin thành phần về nguồn nhân lực tới kết quả tài chính của doanh nghiệp niêm yết. Các phát hiện có ý nghĩa với cả doanh nghiệp và người sử dụng thông tin, giúp các bên có góc nhìn bao quát hơn về ảnh hưởng của công bố thông tin nguồn nhân lực đến kết quả tài chính doanh nghiệp; qua đó thúc đẩy việc công bố thông tin, cải thiện chất lượng báo cáo và độ minh bạch của thị trường chứng khoán Việt Nam trong thời gian tới.
Ảnh hưởng của yếu tố giá trị tiêu dùng đến ý định tiêu dùng ẩm thực đường phố của khách du lịch quốc tế tại Việt Nam
Authors: Trần Thị Tuyết
Published: March 2024

Mục tiêu nghiên cứu của bài nghiên cứu này nhằm tìm ra sự tác động của yếu tố giá trị tiêu dùng tác động đến ý định tiêu dùng ẩm thực đường phố tại Việt Nam dựa trên lý thuyết hành vi có kế hoạch và lý thuyết giá trị tiêu dùng. Nghiên cứu điều tra 421 khách du lịch quốc tế tiêu dùng ẩm thực đường phố tại Hà Nội và sử dụng mô hình cấu trúc (SEM) để phân tích kết quả. Kết quả nghiên cứu cho thấy các yếu tố như thái độ, chuẩn mực chủ quan và nhận thức kiểm soát hành vi có tác động tích cực đến ý định tiêu dùng của khách du lịch. Hơn nữa, giá trị tiêu dùng đóng vai trò quan trọng trong việc tác động lên thái độ tiêu dùng của khách du lịch và cuối cùng, tác động lên ý định tiêu dùng của khách. Từ đó, khuyến nghị cho người kinh doanh ẩm thực đường phố chú ý đến yếu tố thuộc giá trị tiêu dùng để thu hút khách du lịch tiêu dùng nhiều hơn ẩm thực đường phố ở Việt Nam.
Identifying distinctions in the perception of fast food and sport shoes brands by children and adolescents based on the brand meaning model
Authors: Tsoy Marina , Shchekoldin Vladislav
Published: March 2024

The article makes an effort to evaluate the influence of a brand meaning on the perception of popular products by children and adolescents on the example of junk food and sport shoes. The study involved 703 pupils of secondary schools from 11 to 18 years old. The proposed approach is based on the use of the Saaty's method, which allows to assess the influence of different factors on the perception of brands by children and adolescents and to determine the distinctions in their perception of brands of various types of products. Based on the analysis, a hierarchical structure of brand perception by children was built. It includes the brand awareness, brand logo recognition, consumer impression of brand advertising. The weighting coefficients of the hierarchical model for fast food and sport shoe brands were estimated and the results were compared, distinctions and similarities were identified in the perception of brands of various types of goods by children and adolescents. For fast food brands, perception of brand quality plays a major role, whilst for sport shoe the brand attractiveness is the most important factor.