Miracle-dz/UniFAR-FTUs huggingface dataset:
Favouritism to SOEs: institution quality or career concern?

ABSTRACT SOE is often viewed as favoured by the government compared to other firms. This is in conflict with GDP tournament theory on China’s economic success. Using the Annual Census of Enterprises dataset from 1999 to 2008, this article reveals the surprising finding that SOEs did not obtain significantly more government subsidy. We find that regions with high-quality institutions significantly reduced SOE subsidy grants rather than the city party secretary’s career concern to promote GDP.
Suppressing defects through the synergistic effect of a Lewis base and a Lewis acid for highly efficient and stable perovskite solar cells

Achieving long-term operational stability at a high efficiency level for perovskite solar cells is the most challenging issue toward commercialization of this emerging photovoltaic technology. Here, we investigated the cooperation of a Lewis base and a Lewis acid by combining commercial bis-PCBM mixed isomers as the Lewis acid in the antisolvent and N-(4-bromophenyl)thiourea (BrPh-ThR) as the Lewis base in the perovskite solution precursor. The combination of the Lewis base and the Lewis acid synergistically passivates Pb2+ and PbX3− antisite defects, enlarges the perovskite grain size, and improves charge-carrier separation and transport, leading to improved device efficiency from 19.3% to 21.7%. In addition, this Lewis base and acid combination also suppresses moisture incursion and passivates pinholes generated in the hole-transporting layer. The unsealed devices remained at 93% of the initial efficiency value in ambient air (10–20% relative humidity) after 3600 h at 20–25 °C and dropped by 10% after 1500 h under continuous operation at 1-sun illumination and 55 °C in nitrogen with maximum power-point tracking.
Association between Neutrophil-To-Lymphocyte and Platelet-To-Lymphocyte Ratios with Chronic Allograft Nephropathy

Background: In several diseases, both neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are reliable indicators of chronic inflammation. Endothelial dysfunction is widely distributed in renal transplant patients and is caused by inflammation and can lead to the malfunction of the graft. Objective: To detect the correlations of NLR and PLR with chronic allograft nephropathy (CAN) in recipients of kidney transplants and determine the cutoff values for the prediction of CAN. Patients and Methods: 68 kidney transplant recipients shared in the study between January 2017 and December 2019. They were two groups. Group 1 (44 subjects) had estimated glomerular filtration rate (eGFR) ≥ 60 ml/m/1.73 m2 and group 2 (24 subjects) had eGFR less than 60 ml/m/1.73 m2. Results: The two groups had similar age and sex distributions. eGFR was shown to be adversely linked to NLR and PLR. The optimal cutoff level of NLR for predicting chronic allograft nephropathy was ≥1.58 and the optimal cutoff level of PLR was ≥109.13. Conclusion: Significant correlations were detected between kidney function tests and each of NLR and PLR. PLR is a more sensitive inflammatory marker to predict chronic allograft nephropathy than NLR with a sensitivity of 83.33 % versus 66.67 %.
Politics and Politeness: Analysis of Incivility on Twitter During the 2020 Democratic Presidential Primary

In the past decade, social networking sites have become central forums for public discourse and political engagement. Of particular interest is the role that Twitter plays in the facilitation of political discourse. To this end, the existing literature argues that a healthy political discussion space is key to maintaining a trusting and robust democratic society. Using Suler’s online disinhibition effect as a theoretical orientation, this study seeks to address the extent of incivility on Twitter in discourse regarding the top three 2020 Democratic primary candidates. A total corpus of 18,237,296 tweets was analyzed in an effort to assess the extent to which incivility dominated Twitter discourse surrounding these candidates. Our results reveal that tweets that mention Senator Elizabeth Warren were associated with higher levels of uncivil discourse than tweets that mentioned Senator Bernie Sanders and former Vice President Joe Biden. Interestingly, there does not appear to be a relationship with anonymity and incivility, as uncivil tweets were just as likely to originate from tweets that identified users’ names as they were to originate from anonymous or pseudonymous accounts. Finally, our findings provide evidence that certain policy issues are more closely related to uncivil discourse than others. Through the use of k-means clustering, our findings illustrate that the issue of gun control and immigration is closely related with mentions of Warren and fiscal policy with Sanders; however, we did not find any policy keywords linked to Biden.
From attitude to satisfaction: introducing the travel mode choice cycle

ABSTRACT Many studies analysing the relationship between attitudes and travel behaviour have found that travel attitudes have an important impact on travel mode choice. More recently, studies focusing on how people experience travel have shown that travel satisfaction is influenced by the chosen travel mode. The desire and intention of using a travel mode – which can be considered as important predictors of mode choice – have, however, received limited attention. Furthermore, existing studies mostly have a narrow scope and lack integration of the above constructs. In this paper, we introduce the travel mode choice cycle (TMCC), a comprehensive model aiming to link attitude, desire, intention, behaviour, and satisfaction by integrating prominent social-psychological attitude theories such as the theory of planned behaviour, the model of goal-directed behaviour, and the theory of cognitive dissonance. We argue that the constructs of the TMCC are strongly interrelated such that they can affect each other in direct and indirect ways. The proposed cycle provides valuable insights for policymakers to stimulate the use of desired travel modes, such as public transport and active travel. We end this paper by providing suggestions for future studies to simultaneously investigate the relationships specified by the TMCC.
The psychological determinants of pro-environmental behavior of russian students

The present article aims to investigate the results of the study, which was conducted to identify the psychological determinants of pro-environmental behavior of Russian students in the field of energy-saving. The sample amounted to 197 university students (59 males and 138 females). Values, personality traits, and time perspective components were viewed as the critical determinants of pro-environmental behavior. The results show that pro-environmental behavior is directly affected by such variables as “universalism: nature,” “security: societal”, “empathy,” “stability of emotions,” “positive past,” “social desirability: subject,” and “benevolence: caring” have an inverse effect on pro-environmental behavior. The article also shows the research perspectives for the study of pro-environmental behavior.
PENGEMBANGAN MEDIA INTERAKTIF BERBASIS ANDROID BERBANTUAN ARTICULATE STORYLINE 3 PADA PEMBELAJARAN MATEMATIKA DI MASA PANDEMI

Penelitian ini bertujuan untuk mengembangkan media pembelajaran interaktif matematika berbasis Android dengan bantuan software Articulate Storyline 3 dan mengetahui kelayakan media pembelajarannya. Metode yang digunakan yaitu metode Research & Development (R&D) dengan model Assessment/Analysis, Design, Development, Implementation & Evaluation (ADDIE). Teknik pengumpulan data dilakukan melalui wawancara dan kuesioner. Instrumen penelitian menggunakan lembar kisi-kisi wawancara studi pendahuluan dan angket penilaian kualitas media pembelajaran. Data penelitian ini bersumber dari dua ahli media, dua ahli materi, dan peserta didik kelas VII MTs Negeri 2 Kuningan. Penelitian ini menghasilkan aplikasi berbasis Android dengan nama ABEMAT (Aplikasi Belajar Matematika). Produk dinilai dari kelayakan penggunaan media yang diukur berdasarkan kualitas teknis, kualitas isi dan tujuan, dan kualitas instruksional. Pada penilaian teknis, ahli media menyatakan media pembelajaran masuk pada kategori sangat layak, sedangkan pada penilaian kualitas isi dan tujuan, ahli materi menyatakan media pembelajaran masuk pada kategori layak, dan berdasarkan angket penilaian kualitas instruksional pada uji coba kepada peserta didik, media pembelajaran dinyatakan masuk pada kategori layak sehingga media pembelajaran dapat digunakan untuk membantu proses pembelajaran.
Collaborative Filtering Auto-Encoders for Technical Patent Recommending

SUMMARY To ﬁnd the exact items from the massive patent resources for users is a matter of great urgency. Although the recommender systems have shot this problem to a certain extent, there are still some challenging problems, such as tracking user interests and improving the recommendation quality when the rating matrix is extremely sparse. In this paper, we propose a novel method called Collaborative Filtering Auto-Encoder for the top-N recommendation. This method employs Auto-Encoders to extract the item’s features, converts a high-dimensional sparse vector into a low-dimensional dense vector, and then uses the dense vector for similarity calculation. At the same time, to make the recommendation list closer to the user’s recent interests, we divide the recommendation weight into time-based and recent similarity-based weights. In fact, the proposed method is an improved, item-based collaborative ﬁltering model with more ﬂexible components. Experimental results show that the method consistently out-performs state-of-the-art top-N recommendation methods by a signiﬁcant margin on standard evaluation metrics.
Role of Retama Raetam on Gentamicin-Induced Acute Kidney Injury in Experimental Rat Model

The methanol extract of the seeds of Retama raetam was studied for its preventive and curative effects in gentamicin-induced acute renal failure in rats. Twenty-four rats were divided into four different groups. Group 1 was served as a control group, Group 2 and 3 were administered a daily dose of gentamicin (40 mg/kg body weight s.c) for 13 days. In case of group 3, rats were administered with the extract (30 mg/kg b. wt.) from the 14th day onwards for 10 days. While in group 4 rats were treated with an oral dose of the extract equivalent to 30 mg/kg b. wt. after 2 hoursof subcutaneous injection of gentamicin for 13 days. Serum urea and creatinine levels were measured. Moreover, histopathological as well as morphometrical investigations were performed. In the gentamicin model, the methanol extract of R. raetam (30 mg/kg b. wt.) reduced blood urea and serum creatinine effectively in the curative and the preventive treatment. Light microscopic examination of the renal tissues from gentamicin-treated rats revealed severe histopathological and morphometrical changes, whereas specimens obtained from extract-treated rats revealed only mild changes. These findings recommend that the methanol extract of the seeds of R. raetam counteract the deleterious effect of gentamicin on renal tubular function and structure
The Structure of the Continent‐Ocean Transition in the Gulf of Lions From Joint Refraction and Reflection Travel‐Time Tomography

The Gulf of Lions—Ligurian basin, in the Western Mediterranean, opened from the end of Oligocene to the Miocene as a back‐arc basin driven by rollback of the Ionian slab. Geophysical surveys across the margin have explored the crustal structure and the continent‐ocean transition (COT), but its location and petrological nature is still a matter of debate. Here, we apply joint refraction and reflection travel‐time tomography that combines travel‐times from multichannel seismic and wide‐angle seismic data to provide improved constraints on the P‐wave velocity structure of the sediment cover and the geometry of the top of the basement with respect to previous studies. Similar to earlier works, the velocity model shows three crustal domains, but their geometry and internal velocity differ. We identify a ∼100 km‐wide domain of oceanic crust with an anomalously high upper crustal velocity possibly caused by porosity‐canceling processes triggered by 7–8 km thick overlying sediment cover. The vertical velocity structure and the thickness of the oceanic crust are similar to back‐arcs in the Pacific and the Western Mediterranean. In contrast to previous interpretations, we propose that this oceanic domain is confined between two domains of ultra‐thin (4–5 km‐thick) continental crust, and that the COT is <10 km wide on either side of the oceanic crust.
Postoperative results and the effects of extended partial laryngectomy on the quality of life

Corresponding Author Sercan Çıkrıkcı Yozgat City Hospital, Erdoğan Akdağ Mah. Viyana Cad. , Yozgat City Hospital, Otorhinolaryngology Clinic, Yozgat, Turkey E-mail: drsrc46@gmail.com � Ethics Committee Approval The study was approved by Gaziantep University Clinical Research Ethics Committee on 21 March 2016 with the decision number 2016/90. All procedures in this study involving human participants were performed in accordance with the 1964 Helsinki Declaration and its later amendments. � Conflict of Interest No conflict of interest was declared by the authors. � Financial Disclosure The authors declared that this study has received no financial support. � Previous Presentation This study was an oral presentation at the 40 th
Women and Economic Production: Towards Sustainable Livelihoods in Zimbabwe

Persistent drought and economic collapse in Zimbabwe have seen most, if not all, rural women shifting from the receiving end to the giving end. Rural women have since initiated several livelihood activities to make ends meet, as they are the most vulnerable whenever they are left to look after children at home. The paper aims to examine rural livelihoods and how they contribute to economic production in Ward 5 of Bikita district. A mixed design in the form of a case study was employed in this study. Systematic random sampling was used to select 40 households, which provided data for the study out of 409 households in Ward 5. The study used questionnaires and semi-structured interviews as data collecting instruments. Several livelihood activities were noted in the ward including seasonal farming, gardening, community-based and money lending and saving schemes (fushai), informal trading, and petty trading as selling thatch grass and firewood, among others. However, climate change and drought, economic crisis, lack of capital and poor soils and poor farming methods were some of the constraints faced in rural livelihoods. The paper concludes with several recommendations for eradicating rural livelihood challenges.
The electrochemical measurements investigation of NiCo2O4 for electrode materials of energy storage devices by using digital holography technique

The electrochemical properties of NiCo2O4 for using as electrode materials for the potential applications have been investigated by electrochemical measurement which composed of cyclic voltammetry (CV) and galvanostatic chargedischarge (GCD). These processes are generating the ion exchange between the electrode and electrolyte, wherein induce the surface change of the interface. Especially, since in the cycle ability measurement using the potentiostat needed to repeat the cycle into the electrode for many times, the effective of the electrode is reduced. In this research, digital holographic technique was used to investigate the different properties of interface of the NiCo2O4 electrode while operating under the various electrochemical techniques. In our DH recording, the surface change of the electrode was expose at the difference potential scan rate at 1, 5, 10, 50, 100 and 200 mV/s of CV, and the difference current densities at 1, 2, 3, 5, 10 and 20 A/g of GCD and vary times of cycle ability test every 50 cycle times to 1000 cycles. In the end the reconstructed DH images of the electrode have been used to analyze the results from electrochemical measurement.
Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron

ABSTRACT Product configurators are recognised as critical toolkits enabling customers to co-create products with companies. Most available product configurators require customers to select suitable product attributes from predefined options. However, customers usually find the selection processes frustrating due to their lack of product knowledge. In view of the fact that customers often express their needs in imprecise and vague natural language, we define a new needs-based configuration mechanism and propose an implementation approach based on text embeddings and multilayer perceptron. Specifically, we leverage the massive amount of product reviews by encoding them into text embeddings. A multilayer perceptron is trained to map text embeddings to product attribute options. Experiment results indicate that the mapping has good generalisation capability to map customer needs into product configurations. The performance of our approach is comparable to that of deep learning-based approaches but with much higher efficiency in terms of computational complexity. Our needs-based configuration thus provides a quick and effective means of facilitating product customisation. It also demonstrates an innovative way of utilising customer resources in unstructured text to co-create products with companies.
Review of the strain-based formulation for analysis of plane structures Part I: Formulation of basics and the existing elements

Since the introduction of the finite element approach, as a numerical solution scheme for structural and solid mechanics applications, various formulation methodologies have been proposed. These ways offer different advantages and shortcomings. Among these techniques, the standard displacement-based approach has attracted more interests due to its straightforward scheme and generality. Investigators have proven that the other strategies, such as, the force-based, hybrid, assumed stress and assumed strain provide special advantages in comparison with the classic finite elements. For instance, the mentioned techniques are able to solve difficulties, like shear locking, shear parasitic error, mesh sensitivity, poor convergence and rotational dependency. The main goal of this two-part study is to present a brief yet clear portrait of the basics and advantages of the direct strain-based method for development of high-performance plane finite elements. In this paper, which is the first part of this study, assumptions and the basics of this method are introduced. Then, a detailed review of all the existing strain-based membrane elements is presented. Although the strain formulation is applicable for different types of structures, most of the existing elements pertain to the plane structures. The second part of this study deals with application and performance of the reviewed elements in the analysis of plane stress/strain problems.
RTHop: Real-Time Hop-by-Hop Mobile Network Routing by Decentralized Learning With Semantic Attention

Multi-access Edge Computing and ubiquitous smart devices help serve end-users efficiently by providing emerging edge-deployed services. On the other hand, more heavy and time-varying traffic loads are generated in mobile edge networks, so that an efficient traffic forwarding mechanism is highly required to handle the routing problem in complex and highly dynamic edge environments. Thus, Deep Reinforcement Learning (DRL) is introduced since it can work in a model-free approach. However, previous centralized DRL-based methods work in a turn-based way that mismatches the real-time property of routing. In this paper, we propose a real-time and distributed learning approach, RTHop, to adapt to the volatile environment and realize a hop-by-hop routing. The Multi-Agent Deep Reinforcement Learning (MADRL) and the Real-Time Markov Decision Process (RTMDP) are used to alleviate network congestion and maximize the utilization of network resources. By joining with the self-attention mechanism, RTHop obtains the semantics from elements of the network state to help agents learn the importance of each element on routing. Experiment results show that RTHop not only overcomes the weakness of conventional turn-based DRL methods but also achieves the increase of delivered packet ratios and effective throughput compared with other routing methods.
Influence of Media Composition and Genotype on Potato (Solanum tuberosum L.) Microtuberization

Kentang (Solanum tuberosum L.) adalah salah satu komoditi pangan penting di dunia. Penyediaan benih kentang generasi awal yang bebas penyakit sistemik virus merupakan masalah utama dalam pembudidayaan kentang. Produksi benih kentang generasi awal berupa umbi mini di rumah kaca masih memiliki resiko kontaminasi oleh penyakit virus. Teknik produksi umbi mikro secara in vitro dapat menjadi metode alternatif untuk produksi benih sumber. Tujuan penelitian ini adalah untuk menentukan media yang optimum dalam produksi umbi mikro pada empat genotipe kentang, yaitu AOTX98202-1RU, ATX9202-3RU, ATTX98468-5R/Y dan ATTX98518-5P/Y. Keempat genotipe dikulturkan pada media Murashige and Skoog (MS) dengan tambahan 6% sukrosa, dengan atau tanpa 2 g L-1 phytagel, dan dengan atau tanpa 10 mg L-1 kinetin. Stek dua buku dikulturkan pada tiap botol kultur, masing – masing dengan lima ulangan. Kultur diinkubasi selama dua minggu pada suhu 23°C dengan fotoperiode 16 jam terang/hari, lalu suhu 16 °C selama 2 minggu dengan fotoperiode 16 jam terang/hari, dan suhu 16 °C dalam ruang gelap selama 6 minggu, dan diamati selama 10 minggu. Hasil penelitian menunjukkan bahwa tiap genotipe memiliki respon yang berbeda terhadap media. Perlakuan 2 g L-1 phytagel + 10 mg L-1 kinetin (T4) merupakan media yang efektif untuk mendorong pertumbuhan umbi mikro pada genotipe ATTX98468-5R/Y dan ATTX98518-5P/Y. Genotipe ATTX98468-5R/Y pada media T4 menghasilkan umbi mikro terbanyak (4.2 umbi mikro/botol), sedangkan ATTX98518-5P/Y menghasilkan rata-rata berat umbi tertinggi (363.6 mg). Hasil penelitian menunjukkan pentingnya untuk mengembangkan protokol khusus untuk tiap genotipe agar mendapatkan produksi umbi mikro yang optimal.
EXPLORING THE POTENTIAL OF DIGITAL TWIN-DRIVEN DESIGN OF AERO-ENGINE STRUCTURES

Abstract As the diversity of customer needs increases within the aerospace industry, so does the need for improved design practices to reduce quality issues downstream. When designing new products, design engineers struggle with applying tolerances to features, which often leads to expensive late design iterations. To mitigate this, one aerospace company is looking to reuse tolerance deviation data yielded during manufacturing in design. In the long term these data could provide the basis for a Digital Twin that can be used for improved product development. This article explores how data from production are used today, what issues prevents such data from being exploited in the design phase, and how they potentially could be used for design purposes in the future. To understand the current situation and identify the untapped potential of production data in design, an interview study was conducted in conjunction with a literature review. In this paper the current situation and primary barriers are presented and a possible path for further research and development is suggested.